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oracle cloud erp ap pay application support engineer

Accenture

<div><p><b>We are:</b><br>
The Advanced Technology Centers (ATCs) are the engine for reinvention in our clients&rsquo; transformation journey. Powered by more than 255,000 people across 24 countries, ATCs provide our clients with seamless access to industry insights and innovative technology solutions.</p><p></p><p><b>
Stronger together!</b><br>
The ATCs solve our clients&rsquo; business challenges by leveraging innovation, intelligence, industry insights, and cutting-edge technology skills. With the global environment evolving rapidly, our clients face unprecedented challenges, and they need us more than ever. As a Network, ATCs unlock greater opportunities and exponential value for our clients.</p><p></p><p><b>
The value for our clients and our people:</b><br>
For our clients, the Network provides geographic diversity, resilience, and seamless access to deep industry knowledge, Gen AI solutions, and global tech expertise.<br>
For our people, it offers boundaryless career paths in a collaborative team of experts solving the world&rsquo;s most complex client challenges.</p><p></p><p><b>
The work:</b><br>
As an <b>Oracle Cloud ERP Support Engineer</b>, you will leverage your expertise in Oracle Procure to Pay, Oracle Purchasing, and Accounts Payable processes to deliver high-quality solutions and drive operational efficiency. You will foster collaboration, engage with stakeholders, and ensure alignment with client expectations while mitigating risks and enhancing service delivery.</p><p></p><p><b>
This is a hybrid role and will require 3 days per week in the office. Hiring locations are Atlanta, Tampa or Dallas.</b></p></div>
<br>
<div><p><b>Basic Qualifications:</b></p><ul><li>
Minimum of 5 years of experience with Oracle ERP Cloud Financials Support</li><li>
Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience)</li></ul><p></p><p><b>
Bonus Points if:</b></p><ul><li>
Experience in: Oracle Purchasing, and Accounts Payable processes</li><li>
Intermediate proficiency in Oracle Procure to Pay, Oracle Purchasing, and Accounts Payable processes.</li><li>
Strong skills in service delivery, risk mitigation, and stakeholder engagement.</li></ul><p></p><p><br>
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.<br>
We anticipate this job posting will be posted until 06/07/2026.<br>
<br>
Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:</p><p></p><p>
U.S. Employee Benefits | Accenture</p><p><br>
Role Location Annual Salary Range<br>
California $73,800 to $218,800<br>
Cleveland $68,300 to $175,000<br>
Colorado $73,800 to $189,000<br>
District of Columbia $78,500 to $201,300<br>
Illinois $68,300 to $189,000<br>
Maryland $73,800 to $189,000<br>
Massachusetts $73,800 to $201,300<br>
Minnesota $73,800 to $189,000<br>
New York $68,300 to $218,800<br>
New Jersey $78,500 to $218,800<br>
Washington $80,200 to $201,300</p><p></p><p><b>
Requesting an Accommodation</b></p><p>
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.</p><p>
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.</p><p></p><p><b><br>
Equal Employment Opportunity Statement</b></p><p>
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.</p><p>
For details, view a copy of the Accenture Equal Opportunity Statement</p><p>
Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.</p><p>
Accenture is committed to providing veteran employment opportunities to our service men and women.</p><p></p><p><b><br>
Other Employment Statements</b></p><p>
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.</p><p>
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.</p><p>
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.</p><p>
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.</p><p>
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.</p><p>
Please read Accenture&rsquo;s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.</p></div>

Oracle Cloud ERP - AP, PAY Application Support Engineer

Capgemini

<div><div><div><p>Atlanta</p><div>
Oracle Cloud Integration Architect/ Technical Lead</div><p>
</p></div></div><p></p><div><div><div><div><div><p>
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p><div><div><div><div>
About the role you are considering</div></div><div><p>
</p><p>The Oracle Technical Architect will manage and deliver medium to high complexity / Cloud Transformation / Multi-Country roll out integration projects. They will play a crucial role in designing architecture for scalability, high-availability, performance, flexibility, operational efficiency, security, and maintainability. The ideal candidate will lead translation of the client's business goals and requirements into system designs, technical configuration and testing of Oracle applications and integrations.<br>
<br>
<br>
</p><p>Your role</p><br>
<p></p><ul><li>
Lead cross-functional and cross-technology solution design discussions</li><li>
Review and/or develop integration strategy documents and technical specifications to ensure technical feasibility and alignment with the overall ERP solution</li><li>
Facilitate communication between onshore and offshore teams to ensure configuration and development activities meet the solution requirements</li><li>
Offer implementation options for new system features that enable strategic business capabilities</li><li>
Use technology as a key competitive advantage by evaluating and implementing technical innovations</li><li>
Define solution footprint for prospects, either as part of proposal response or on-site discovery or other working sessions</li><li>
Work with project managers to ensure accurate scoping for timely project delivery - estimate time frames, quality and quantity of resources required to successfully implement project; develop project plans incorporating all project variables including risk.</li><li>
Act as a mentor to Leads and Analysts</li><li>
Contribute to Capgemini's Oracle Cloud communities regarding capabilities, knowledge, solutions, etc.
</li></ul></div></div><div><div><div>Your skills and experience</div></div><p></p><div><br>
<ul><li>
9-13 years of experience developing solutions with Oracle Cloud, Oracle Integration Cloud Service (OICS)</li><li>
Must have worked on at least 5-6 Oracle Cloud or Multi-Pillar projects
</li><li>Experience designing overall Oracle Cloud solutions including complementary vendors and integrations based on business requirements and impact on boundary systems</li><li>
Working knowledge of Cloud Configuration</li><li>
Strong consulting experience and business analytical skills
</li><li>Able to work independently and manage multiple assignments
</li><li>Implementation in global environments or international experience
</li><li>Good communication, presentation and interpersonal skills to interact effectively with clients and team members
</li></ul></div></div></div><p>The base compensation range for this role in the posted location is $93,800 - $ 250,640</p><p>
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p><p>
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p><p>
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p><p>
It is not typical for candidates to be hired at or near the top of the posted compensation range.</p><p>
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><p>
</p><p>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
</p><ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li></ul><ul><li>
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li><li>
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li><li>
Life and disability insurance</li><li>
Employee assistance programs</li><li>
Other benefits as provided by local policy and eligibility</li></ul><p>
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><p>
</p><p>Disclaimers</p><p>
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p><p>
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p><p>
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p><p></p><p><br>
</p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p><p>
</p></div></div><div><div><div><div><div>Ref. code</div><div>
433657-en_GB</div></div><div><div>
Posted on</div><div>
12 Mar 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Atlanta</div></div><div><div>
Business unit</div><div>
ABL AMERICAS</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
SaaS Solutions</div></div></div></div></div></div></div></div></div><p></p>

Oracle Cloud Integration Architect/ Technical Lead

The Home Depot

<div><p><b>Position Purpose:</b></p><div><p>
The Cybersecurity Principal Engineer, AI Identity (Non‑Human Identity) is a senior, hands‑on technical leader within The Home Depot Cybersecurity Architecture &amp; Innovation team. This role provides enterprise‑wide thought leadership and architectural direction for Identity and Access Management (IAM) with a specialized focus on AI, agentic AI, and Non‑Human Identity (NHI).</p><p></p><p>
The Principal Engineer serves as a recognized company and industry expert, combining deep IAM expertise with a broad understanding of cybersecurity, cloud, and modern enterprise technologies. The role operates in a horizontal capacity, supporting and guiding multiple cybersecurity and technology functions through solution design, evaluation, prototyping, documentation, and operationalization.</p><p></p><p>
This position plays a critical role in shaping Home Depot&rsquo;s AI identity strategy and maturity, defining the foundational IAM architecture and technology enablement stack required to securely support AI workloads, services, and autonomous agents. The Principal Engineer partners closely with cybersecurity, engineering, architecture, and operations teams to ensure identity solutions are scalable, secure, and aligned to both current and future‑state enterprise architecture.</p></div><p><b><br>
Key Responsibilities:</b></p><ul><li>
100% Deliver Execution, Plans &amp; Aligns - Review, analyze, identify, and provide solutions to mitigate potential security control gaps enterprise wide; Collaborate across teams to reduce vulnerabilities, risks, and incident management; Partner with engineers, technology, and business partners to implement and maintain a secure environment</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This position typically reports to Distinguished Engineer</li><li>
This position has 0 Direct Reports</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
No travel required.</li></ul><p><b><br>
Physical Requirements:</b></p><ul><li>
Most of the time is spent sitting in a comfortable position, and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.</li></ul><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><div><ul><li>
Extensive enterprise experience in Identity and Access Management (IAM), including identity provisioning, authentication, and authorization.</li><li>
Hands‑on experience with Non‑Human Identity (NHI), such as service accounts, workload identities, or machine identities</li><li>
Proven ability to independently evaluate, design, and prototype complex security or identity solutions</li><li>
Experience working within large, highly integrated enterprise technology environments</li><li>
Strong understanding of core cybersecurity concepts, including authentication/authorization, encryption, segmentation, and secure system design</li><li>
Broad technical knowledge across cloud, compute, networking, databases, and application development</li><li>
Experience with cloud platforms (e.g., AWS, Azure, or equivalent) and cloud‑native identity patterns</li><li>
Proficiency in at least one programming or scripting language used for prototyping, automation, or integration</li><li>
Ability to produce clear technical documentation, including architecture artifacts and design decisions</li><li>
Strong collaboration skills and the ability to provide technical guidance across cross‑functional teams</li></ul></div><p></p><p><b><br>
Preferred Qualifications:</b></p><div><ul><li>
Demonstrated experience applying IAM concepts to AI, agentic AI, and emerging AI technology patterns</li><li>
Experience designing or supporting identity strategies for AI workloads, services, or autonomous agents</li><li>
Proven experience developing holistic reference architectures, roadmaps, and future‑state designs</li><li>
Familiarity with Zero Trust principles and modern identity‑centric security architectures</li><li>
Experience guiding engineering and operations teams through operationalization and technology handoff</li><li>
Knowledge of industry cybersecurity frameworks and standards (e.g., NIST or similar)</li><li>
Experience conducting technology evaluations, proofs of concept, and capability assessments</li><li>
Ability to represent IAM or security architecture in cross‑functional design and innovation forums</li><li>
Demonstrated success operating independently in fast‑moving, evolving technology initiatives</li></ul></div><p><br>
</p><p><b>Minimum Education:</b></p><ul><li>
The knowledge, skills, and abilities are typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
10</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><ul><li>
Decision Quality</li><li>
Plans and Aligns</li><li>
Develops Talent</li><li>
Manages Conflict</li></ul></div><p></p>

Cybersecurity Principal, AI Identity (REMOTE)

<div><div><p><b>Position Purpose:</b></p><p>
The Senior Cybersecurity Engineer &ndash; Non‑Human Identity (NHI) partners with Architecture, IAM, cloud, platform, DevOps, and application teams to design, build, and operate enterprise‑scale discovery, governance, and lifecycle automation for non‑human identities (NHIs). NHIs include service accounts, API tokens, cloud IAM roles, automation identities, CI/CD identities, and AI agents across on‑premises, hybrid, and multi‑cloud environments. This role focuses on automation, collaboration, and risk reduction, helping modernize authentication patterns and reduce reliance on long‑lived credentials.</p><p><b><br>
Key Responsibilities:</b></p><ul><li>
100% Deliver Execution, Plans &amp; Align, Problem Solving - Design automation workflows and capabilities in support of data collection, investigation and incident response Develop threat hunting and data analysis strategy and capabilities Identify and propose new technologies, methodologies and/or approaches to detecting malicious activity Utilize indicators to scope and respond proactively to emerging threats Design, build, configure, maintain and monitor cybersecurity threat defense capabilities and user access management</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This Position typically reports to Manager or Sr. Manager</li><li>
This Position has 0 Direct Reports</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
No travel required.</li></ul><p><b><br>
Physical Requirements:</b></p><ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><p><b><br>
Preferred Qualifications:</b></p><p><b>
Non‑Human Identity Discovery &amp; Automation</b></p><ul><li>
Work with IAM, Architecture, and platform teams to design and operate automated discovery capabilities for NHIs across servers, applications, cloud platforms, and CI/CD pipelines</li><li>
Contribute to development of automation and tooling (Python, PowerShell) to:<ul><li>
Discover NHIs across infrastructure and environments</li><li>
Parse configuration files, logs, APIs, and Infrastructure‑as‑Code to identify embedded or hard‑coded credentials</li><li>
Enrich NHI metadata including ownership, purpose, environment, and lifecycle state</li></ul></li><li>
Partner with engineering teams to automate NHI hygiene activities such as ownership validation, lifecycle tracking, and reporting</li></ul><p><b>
NHI Lifecycle &amp; Governance</b></p><ul><li>
Collaborate with IAM, Architecture, cloud, and ITSM teams to design and integrate NHI lifecycle workflows, including onboarding, access reviews, credential rotation, and decommissioning</li><li>
Integrate NHI workflows with enterprise platforms, including: IAM and PAM solutions, Cloud IAM services, Secrets management platforms, ITSM and workflow tools</li><li>
Support enforcement of clear ownership, purpose, and lifecycle accountability for NHIs</li><li>
Assist with enterprise access reviews, attestations, and audit evidence generation</li></ul><p><b>
Partner with application, platform, and DevOps teams</b> to analyze authentication flows and refactor legacy patterns toward modern, password‑less NHI designs, including managed identities, OAuth client credentials, and short‑lived tokens.</p><ul><li>
Provide NHI context to security monitoring and incident response teams to support investigations involving service account misuse, anomalous automation behavior, or credential compromise</li><li>
Apply data‑driven techniques such as pattern recognition, baselining, and anomaly indicators to analyze NHI usage trends and detect drift or misuse.</li></ul><p><b>
AI Agent Identity Governance</b></p><ul><li>
Partner with architecture and platform teams to support onboarding and governance of AI agents as non‑human identities</li><li>
Help ensure AI agents have clearly defined ownership, scoped access, and documented lifecycle expectations</li></ul><p><b>
Basic PKI Responsibilities (Foundational)</b></p><ul><li>
Support certificate‑based NHIs (e.g., TLS, mTLS, client authentication) as part of broader NHI governance</li><li>
Integrate NHI discovery and lifecycle workflows with enterprise PKI and certificate management platforms</li><li>
Ensure certificates and private keys follow approved standards for issuance, rotation, and expiration, without direct ownership of PKI infrastructure</li><li>
Collaborate across security, cloud, and platform engineering teams to align NHI controls with Zero Trust principles and THD security standards.</li><li>
Produce and maintain technical documentation, runbooks, and onboarding guides, and support audit and compliance activities through NHI evidence and reporting.</li><li>
Continuously improve the NHI program by identifying automation opportunities, reducing operational toil, and improving accuracy, coverage, and maturity of non‑human identity controls.</li></ul><p><b><br>
Minimum Education:</b></p><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
3</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><ul><li>
Action Oriented</li><li>
Collaborates</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Drives Results</li></ul></div><p></p><p><br>
Apply End Date: 05/19/2026</p></div>

Cybersecurity Senior Engineer - Non Human Identity (Remote)

Southern Company

<div><p>This position will be filled in the Data Analytics team within Technology Services. Data Engineer will be responsible for designing, developing, and maintaining our data infrastructure. This role involves working closely with data scientists, analysts, and other stakeholders to ensure that data pipelines are efficient, reliable, and scalable. The ideal candidate will have a strong background in data engineering, a passion for technology, and a commitment to delivering high-quality solutions.</p>
<p><b>Education/Experience:</b></p>
<ul><li><div>Bachelor&rsquo;s degree in computer science/engineering or related degree preferred</div></li>
<li><div>
Experience with implementing analytics solutions using the Microsoft analytics toolset and Microsoft Azure</div></li>
<li><div>
Experience working in a fast-paced, competitive information technology organization</div></li>
<li><div>
Exempt 05 requires minimum 3 years of experience</div></li>
<li><div>
Exempt 06 requires minimum 5 years of experience</div></li>
</ul>
<p><b>Knowledge/Skills:</b></p>
<p><b>1. Strong Programming Skills</b></p>
<ul><li><div><b>Languages:</b> Proficient in languages like SQL, Python, or Java. These are essential for building data pipelines, scripting automation, and manipulating data.</div></li>
<li><div><b>
Efficiency:</b> Writing efficient, scalable, and clean code to handle large datasets and optimize performance.</div></li>
</ul>
<p><b>2. Deep Knowledge of Databases &amp; Data Warehousing</b></p>
<ul><li><div><b>SQL and NoSQL:</b> Mastery in relational databases (like MS SQL Server, MySQL, PostgreSQL, Oracle) and NoSQL databases (like MongoDB, Cassandra, DynamoDB), knowing when and how to use each type.</div></li>
<li><div><b>
Data Warehousing:</b> Expertise in using platforms like MS SQL Server, Oracle, Amazon Redshift, Google BigQuery, Snowflake, or traditional data warehouses to store, query, and manage large volumes of data.</div></li>
<li><div><b>
Database Optimization:</b> Skills in optimizing queries, indexing, partitioning, and designing efficient database schemas for high performance.</div></li>
</ul>
<p><b>3. Expertise in Data Pipeline Construction</b></p>
<ul><li><div><b>ETL/ELT Processes:</b> Proven ability to design and build robust ETL pipelines (Extract, Transform, Load) for collecting, cleaning, and moving data.</div></li>
<li><div><b>
Real-time and Batch Processing:</b> Experience working with both batch and real-time data processing frameworks (e.g., Apache Kafka, Apache Flink, Apache Spark, Databricks).</div></li>
<li><div><b>
Data Orchestration:</b> Familiarity with orchestration tools like Apache Airflow.</div></li>
<li><div><b>
Strong knowledge of Medallion Architecture</b>
</div></li></ul><p><b>4. Cloud Platform Expertise</b></p>
<ul><li><div><b>Cloud Services:</b> Proficiency in cloud platforms like Azure* (SQL Database, Data Lake, Lake House), AWS (S3, Lambda, Redshift), or Google Cloud (BigQuery, Dataflow). *Azure is preferred.</div></li>
<li><div><b>
Scalability:</b> Ability to design systems that scale efficiently in the cloud, handling big data and increasing demand without sacrificing performance.</div></li>
</ul>
<p><b>5. Data Transformation and Cleaning Skills</b></p>
<ul><li><div><b>Data Quality Management:</b> Experience in data cleansing, validation, and transformation, ensuring that data is accurate, complete, and in the right format for analysis.</div></li>
<li><div><b>
Data Integration:</b> Expertise in integrating data from diverse sources (internal and external) while resolving issues like inconsistency or format mismatches.</div></li>
</ul>
<p><b>6. Performance Optimization and Troubleshooting</b></p>
<ul><li><div><b>Query Optimization:</b> Ability to fine-tune queries, databases, and pipelines to reduce latency, optimize resource usage, and speed up data processing.</div></li>
<li><div><b>
System Monitoring:</b> Familiarity with monitoring systems and logging tools to detect, diagnose, and resolve performance or data issues.</div></li>
</ul>
<p><b>7. Strong Analytical Skills</b></p>
<ul><li><div><b>Data Interpretation:</b> Ability to translate business requirements into technical solutions, ensuring the correct data is collected and processed for reporting, analytics, and decision-making.</div></li>
<li><div><b>
Problem Solving:</b> A strong ability to troubleshoot and resolve complex data challenges or inconsistencies that can affect the integrity and availability of data.</div></li>
</ul>
<p><b>8. Knowledge of Big Data Tools</b></p>
<ul><li><div><b>Big Data Frameworks:</b> Familiarity with big data technologies such as Spark or Flink for processing large datasets across distributed systems.</div></li>
<li><div><b>
Data Lakes and Data Pipelines:</b> Experience with data lakes (e.g., Azure Lakehouse, AWS S3, HDFS) for storing raw and unstructured data and building pipelines to process it efficiently.</div></li>
</ul>
<p><b>9. Collaboration and Communication Skills</b></p>
<ul><li><div><b>Cross-functional Collaboration:</b> Proven ability to work closely with data scientists, analysts, and other stakeholders to understand data needs and deliver optimal solutions.</div></li>
<li><div><b>
Clear Communication:</b> Ability to explain technical concepts to non-technical stakeholders, ensuring that data infrastructure decisions align with business goals.</div></li>
</ul>
<p><b>10. Data Security &amp; Governance Awareness</b></p>
<ul><li><div><b>Data Privacy:</b> Knowledge of data privacy regulations (e.g., GDPR, CCPA) and ensuring that systems comply with these laws while managing sensitive data.</div></li>
<li><div><b>
Access Control:</b> Implementing strong data access controls, encryption, and monitoring to secure data both at rest and in transit.</div></li>
</ul>
<p><b>11. Adaptability to New Tools and Technologies</b></p>
<ul><li><div><b>Continuous Learning:</b> A strong commitment to keeping up with the rapidly evolving tech landscape, experimenting with and implementing new tools, frameworks, and approaches to data engineering.</div></li>
<li><div><b>
Flexibility:</b> Adaptability to changing data architectures or business needs, ensuring data systems remain resilient and future-proof.</div></li>
</ul>
<p><b>12. Automation &amp; DevOps Skills</b></p>
<ul><li><div><b>Automation Tools:</b> Familiarity with CI/CD pipelines and automation tools (like Jenkins, Docker, Kubernetes) to streamline development and deployment of data engineering solutions.</div></li>
<li><div><b>
Infrastructure as Code (IaC):</b> Experience with tools like Terraform or Azure Resource Manager (ARM) to manage data infrastructure efficiently.</div></li>
</ul>
<p><b>General Job Responsibilities:</b></p>
<div><div><p><b>Data Pipeline Development:</b></p></div>
<div><p>
Designing, building, and maintaining robust data pipelines to collect, clean, and process data from various sources. Using Microsoft Analytics Tool stack on-prem and Azure Cloud. For example, SSIS, SSAS, SQL Server, Azure Lake House, MS Fabric, Databricks etc.</p></div>
<div><p>
Ensuring data is stored efficiently for easy access and retrieval (e.g., in data lakes, warehouses).</p></div>
<div><p><b>
Data Integration:</b></p></div>
<div><p>
Integrating data from multiple systems, applications, and external sources.</p></div>
<div><p>
Ensuring data is harmonized and available in a format suitable for analysis.</p></div>
<div><p><b>
Database Management:</b></p></div>
<div><p>
Creating and managing databases, ensuring that they are optimized for performance, security, and scalability.</p></div>
<div><p>
Handling structured and unstructured data.</p></div>
<div><p><b>
Data Quality Assurance:</b></p></div>
<div><p>
Monitoring and ensuring the accuracy, consistency, and reliability of data.</p></div>
<div><p>
Implementing processes for data validation, cleansing, and enrichment.</p></div>
<div><p><b>
Performance Optimization:</b></p></div>
<div><p>
Optimizing queries and databases for faster performance and lower latency.</p></div>
<div><p>
Tuning and troubleshooting database performance issues.</p></div>
<div><p><b>
Collaboration with Data Scientists &amp; Analysts:</b></p></div>
<div><p>
Working closely with data scientists, analysts, and other stakeholders to understand data needs.</p></div>
<div><p>
Ensuring data is ready and available for analysis, machine learning models, and reporting.</p></div>
<div><p><b>
ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) Processes:</b></p></div>
<div><p>
Implementing ETL/ELT processes to extract data from different sources, transform it into usable formats, and load it into data warehouses or lakes.</p></div>
<div><p>
Understanding the different and when to apply each approach</p></div>
<div><p><b>
Automation and Monitoring:</b></p></div>
<div><p>
Automating repetitive tasks related to data processing and integration.</p></div>
<div><p>
Setting up monitoring to track data quality, pipeline performance, and system health.</p></div>
<div><p><b>
Data Security &amp; Compliance:</b></p></div>
<div><p>
Ensuring data security measures are in place to protect sensitive information.</p></div>
<div><p>
Adhering to data privacy regulations and compliance standards, such as GDPR or CCPA.</p></div>
<div><p><b>
Tool and Technology Evaluation:</b></p></div>
<div><p>
Evaluating and implementing new tools, frameworks, and technologies to improve data infrastructure.</p></div>
<div><p>
Keeping up to date with the latest trends in big data and cloud technologies.</p></div>
</div>
<p><b>Core Behavioral Attributes:</b></p>
<p>Additional required behavioral attributes:</p>
<ul><li><div>Results-oriented</div></li>
<li><div>
Innovative
</div></li><li><div>Strategic thinker with an enterprise view for sustainable solutions
</div></li><li><div>Committed to continuous learning and improvement
</div></li><li><div>Committed to the development of others
</div></li><li><div>Committed to building and maintaining constructive partnerships with business partners
</div></li><li><div>Works well both independently and with others
</div></li><li><div>Acts with speed and decisiveness
</div></li><li><div>Committed to ethical conduct
</div></li><li><div>Lives and works safely</div></li>
</ul>
<p><b>Note: The position is Hybrid, Atlanta, GA or Birmingham, AL. Four days in the office; and one day remote a week.</b></p>
<p><b>About Southern Company</b></p>
<p>Southern Company (NYSE: SO ) is a leading energy provider serving 9 million customers across the Southeast and beyond through its family of companies. Providing clean, safe, reliable and affordable energy with excellent service is our mission. The company has electric operating companies in three states, natural gas distribution companies in four states, a competitive generation company, a leading distributed energy solutions provider with national capabilities, a fiber optics network and telecommunications services. Through an industry-leading commitment to innovation, resilience and sustainability, we are taking action to meet customers' and communities' needs while advancing our goal of net-zero greenhouse gas emissions by 2050. Our uncompromising values ensure we put the needs of those we serve at the center of everything we do and are the key to our sustained success. We are transforming energy into economic, environmental and social progress for tomorrow. Our corporate culture has been recognized by a variety of organizations, earning the company awards and recognitions that reflect Our Values and dedication to service. To learn more, visit www.southerncompany.com .</p>
<p>Southern Company invests in the well-being of its employees and their families through a comprehensive total rewards strategy that includes competitive base salary, annual incentive awards for eligible employees and health, welfare and retirement benefits designed to support physical, financial, and emotional/social well-being. This position may also be eligible for additional compensation, such as an incentive program, with the amount of any bonus/awards subject to the terms and conditions of the applicable incentive plan(s). A summary of the benefits offered for this position can be found here https://seo.nlx.org/southernco/pdf/SOCO-Benefits.pdf . Additional and specific details about total compensation and beneﬁts will also be provided during the hiring process.</p>
<p>Southern Company is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law.</p>
<p>Job Identification: 18886</p>
<p>Job Category: Information Technology</p>
<p>Job Schedule: Full time</p>
<p>Company: Southern Company Services</p></div>

Data Engineer I or II

Log-hub AG

<p>At Log-hub, we develop innovative and tailored data, analytics, and AI solutions within the supply chain and logistics niche. This empowers our customers to get more out of their data, creates transparency, and provides intelligent and modern decision support.</p><p>We are a company with flat hierarchies, creative minds, and innovative technologies! Everyone contributes and becomes an expert with us. Knowledge exchange and mutual support are key factors to our success. We&rsquo;re ONE Team with the motto HAVE FUN!</p><p>Are you about to successfully complete your studies or have you already graduated and are looking for the perfect start to your career? Then we look forward to receiving your application.</p><p>Your Challenges</p><ul><li>Together with the customer, you will define the requirements for the data projects.</li><li>You will specify the technical aspects and implement data pipelines with modern technologies (Azure Cloud, Google Cloud, AWS, KNIME, etc.).</li><li>You will develop tailor-made solutions with intelligent algorithms for large datasets, from designing the architecture to visualizing results in meaningful dashboards.</li><li>You will design and implement simulation and what-if models to assess and support complex supply chain and logistics decisions based on data (digital-twin).</li><li>You will be part of a mixed team (Log-hub &amp; customer) and act as a link and translator between business units, IT, and solution development.</li><li>You enjoy tackling tactical and strategic supply chain &amp; logistics challenges &ndash; customized demand forecasting, automated route optimization, network design analyses, changing production sites based on the BOM, etc.</li></ul><p>What you bring</p><ul><li>A completed degree (Computer Science, Business Informatics, Industrial Engineering, Mathematics, Physics, or similar) and a passion for quickly getting to grips with new topics.</li><li>Initial experience in data engineering/analytics, e.g., through an internship or trainee program.</li><li>Passion for innovative technologies, methods, and topics such as data engineering, analytics, machine learning, AI, big data, simulations, cloud platforms, and agile working methods (e.g., Scrum).</li><li>Initial experience with data technologies is an advantage, e.g., Microsoft Azure Synapse/Fabric, Databricks/Spark, Snowflake, Google BigLake, AWS Lake Formation, etc.</li><li>A team player with strong communication skills who shares expertise with others</li><li>Professional demeanour and fluency in English.</li></ul><p>Our benefits for you</p><ul><li>An opportunity to shape Log-hub in America with your ideas, insights, and entrepreneurial spirit.</li><li>Development + Perspective: Individual training and development opportunities based on your career aspirations, as well as the chance to take on responsibility quickly.</li><li>BYOD allowance for workspace design according to your individual needs.</li><li>Guaranteed variety: Different clients, topics, methods, and technologies - working as a Data &amp; Analytics Engineer will never be boring.</li></ul><p>Do you have a strong technical affinity and enjoy engaging with customers and providing consultancy? Do you appreciate hands-on technical work? If so, Log-hub is exactly the right company for you!</p><p>Application Question(s):</p><ul><li>How would you rate your English language proficiency (Basic / Intermediate / Advanced / Fluent)?</li><li>Do you hold a bachelor&rsquo;s degree?</li><li>Are you legally authorized to work in the United States?</li></ul><p>Work Location: Hybrid remote in Atlanta, GA 30332</p>

Data & Analytics Engineer (m/f/d)

<div>
 Req178618
 <br/>
 <br/>
 <strong>
  Position Purpose
  <br/>
  <br/>
 </strong>
 The Software Engineer II is responsible for independently developing and assisting in the design of a product that our customers and associates love. As a Software Engineer II, you will be part of a dynamic team with engineers of all experience levels who help each other build and grow technical and leadership skills while creating, deploying, and supporting production applications. In addition, Software Engineer II may be involved in configuration, security, resilience, performance tuning and production monitoring.
 <br/>
 <br/>
 We are dedicated to pushing the boundaries of technology to create solutions that make a difference to the company. Our team is looking for a talented AI/ML developer to join us developing cutting-edge machine learning models and applications for the Company.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   60% Delivery and Execution &ndash; Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions; Documents, reviews and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do destructive testing to ensure adequate resiliency in production; Program configuration/modification and setup activities on large projects using HD approved methodology; Configures commercial off the shelf solutions to align with evolving business needs Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively
  </li>
  <li>
   20% Learning &ndash; Actively seeks ways to grow and be challenged using both formal and informal development channels; Learns through successful and failed experiment when tackling new problems
  </li>
  <li>
   20% Plans and Aligns &ndash; Collaborates with other team members in agile processes; Assists in creating new and better ways for the team to be successful; Relates openly and comfortably with diverse groups of people; Builds partnerships and works collaboratively with others to meet shared objectives
  </li>
  <li>
   Design and develop machine learning models and algorithms to address business challenges.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Direct Manager/Direct Reports
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   This position typically repots to Software Engineer Manager or Sr. Manager
  </li>
  <li>
   This position has 0 Direct Reports
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Travel Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   No travel required.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Physical Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Working Conditions
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Must be eighteen years of age or older.
  </li>
  <li>
   Must be legally permitted to work in the United States.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   1-3 years of relevant work experience
  </li>
  <li>
   Extensive experience in AI, machine learning.
  </li>
  <li>
   Strong understanding of AI use cases and their application in business contexts.
  </li>
  <li>
   Proven track record of developing AI use case from concept to launch.
  </li>
  <li>
   Strong programming skills in Golang, Python.
  </li>
  <li>
   Experience building and maintaining robust data pipelines, ETL/ELT workflows, and data ingestion processes.
  </li>
  <li>
   Solid understanding of machine learning algorithms and principles.
  </li>
  <li>
   Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and AutoML
  </li>
  <li>
   Experience with data preprocessing, data ingestion and model evaluation.
  </li>
  <li>
   Strong problem-solving skills and ability to work independently and as part of a team.
  </li>
  <li>
   Experience in writing SQL queries against a relational database
  </li>
  <li>
   Experience in version control systems and collaborative development tools.
  </li>
  <li>
   Experience with cloud platforms (Azure, GCP)
  </li>
  <li>
   Experience in source code version control (e.g. Git)
  </li>
  <li>
   Experience in Relational or NoSQL database technology
  </li>
  <li>
   Experience in cloud computing techniques
  </li>
  <li>
   Experience in CI/CD tools
  </li>
  <li>
   Experience in microservice-based architecture
  </li>
  <li>
   Experience with modern debugging and root cause analysis techniques
  </li>
  <li>
   Exposure to security frameworks for user and services authorization and authentication
  </li>
  <li>
   Exposure to creating and executing unit, functional, destructive and performance tests
  </li>
  <li>
   Excellent communication skills to convey technical concepts to non-technical stakeholders.
  </li>
  <li>
   Experience in REST and effective web service design
  </li>
  <li>
   Experience in production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Education
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   The knowledge, skills and abilities typically acquired through the completion of a bachelor&rsquo;s degree program or equivalent degree in a field of study related to the job.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Years Of Work Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2-3+ years
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Competencies
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Global Perspective
  </li>
  <li>
   Manages Ambiguity
  </li>
  <li>
   Nimble Learning
  </li>
  <li>
   Self-Development
  </li>
  <li>
   Collaborates
  </li>
  <li>
   Cultivates Innovation
  </li>
  <li>
   Situational Adaptability
  </li>
  <li>
   Communicates Effectively
  </li>
  <li>
   Drives Results
  </li>
  <li>
   Interpersonal Savvy
  </li>
 </ul>
</div>


AI/ML Developer II (Remote)

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