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Infosys

<div>In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below: 
<ul><li>Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
</li><li>Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
</li><li>Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
</li><li>Conduct code reviews, do changes to the codebase and maintain code repositories
</li><li>Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
</li><li>Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
</li><li>Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
</li><li>Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects</li></ul> 

Your contribution to the team: 
<ul><li>A collaborative spirit and excellent communication skills.
</li><li>The ability to handle end to end SDLC phases from requirement gathering to implementation.
</li><li>A knack for translating complex requirements into actionable development tasks.
</li><li>A passion for design and hands-on coding experience
</li><li>A proactive approach to testing, troubleshooting, and refining our applications.
</li><li>The ability to work with cross-functional teams and do software integration.</li></ul></div>

GCP Data Engineer

Wells Fargo

<div><h2 class="jobSectionHeader">Description</h2>
Title: Senior Data Ops Engineer
Location: Irving, TX
Alternative Location: Charlotte, NC, Chandler, AZ, Des Moines, IA, Minneapolis, MN
Duration: 12 months
Work Engagement: W2
Work Schedule: Hybrid 3 days in office/2 days remote
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits
Summary: 
In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Specialty Software Engineering. Review and analyze complex multi-faceted, larger scale, or longer-term Specialty Software Engineering challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel. Required Qualifications: Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education. 
Key Responsibilities:
 Implement and operationalize modern AI-enabled data capabilities on Google Cloud to ingest, transform, and distribute data for a variety of big data apps 
 Leverage AI/Agentic frameworks to automate data management, governance, and data consumption capabilities - data pipelines, data quality, metadata, data compliance, etc. 
 Work within a matrix org. with principal engineers, product managers, and data engineers to roadmap, plan, and deliver key data capabilities based on priority 
Key Requirements:<ul><li>
Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.</li></ul>
Demonstrable skills (recent) using AI tools such as LangChain, LangGraph/ADK, agentic frameworks, RAG, GraphRAG, and using MCP to build agent-based data capabilities 
 data engineering including hands-on experience working with Cloud data solutions: creating/supporting Spark based ingestion and processing 
 Data lakehouse architecture and design, including hands-on experience with Python, pySpark, Kafka, Airflow, Google Cloud Storage, BigQuery, Data Proc, Cloud Composer 
 Hands-on experience developing data flows using Kafka, Flink, and Spark streaming
Desired Qualifications: 
 Proven experience using AI to auto-generate data engineering related code, context engineering and prompt engineering 
 Deep background on cloud-based data lakes and warehouses, and automated data pipelines 
 Public cloud certifications such as GCP Professional Data Engineer, Azure Data Engineer, or AWS Specialty Data Analytics 
 Web based UI development using React and Node JS is a plus</div>

Senior Data Ops Engineer (contract)

NTT DATA

Req ID: 365694
 
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
 
We are currently seeking a Developer / Engineer to join our team in Irving/Tampa/Mississauga, Texas (US-TX), United States (US).
 
Job Description
 
Day to Day job Duties: 
<ul>
<li>Collaborative working with the client’s technology and business staff day-to-day</li>
<li>Codes, tests, debugs, implements, and documents complex global applications.</li>
<li>Negotiate features and associated priorities and help the team and their customers reach consensus.</li>
<li>Develops and/or leads the development of prototypes,</li>
<li>Identify problem causality, business impact and root causes.</li>
<li>Coming up with exact solutions for problems related to object identity and error handling.</li>
</ul>
Skills required: 
<ul>
<li>Minimum 5+ years of work experience in building data pipelines using Python, PySpark, DJango.</li>
<li>Minimum 5+ years of Should have hands on experience on the MLOps.</li>
<li>Minimum 5+ years of Hands-On experience in working with Python and related packages (like NumPy, pandas etc.) to load and scrap the data.</li>
<li>Minimum 5+ years of Hands-on experience with at least one of the tools the Hadoop eco-system (HDFS, AWS Glue, MapReduce, Yarn, Hive, Pig, Impala, Spark, Kafka).</li>
<li>Minimum 5+ years of Working experience on Relational/Non-relational databases and familiarity with data model concepts</li>
<li>Minimum 5+ years of Working exposure in blending as part of larger scrum team and understanding of related scrum ceremonies</li>
<li>Minimum 5+ years of Working knowledge of Unix/Linux.</li>
</ul>
Nice to Have: 
<ul>
<li>Knowledge of cloud platforms (e.g., AWS, Azure, GCP)</li>
</ul>
About NTT DATA
 
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in RD.
 
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
 
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Developer / Engineer

DM Clinical Research

<div>The Clinical Research Coordinator II will ensure that quality research is conducted at the assigned investigative sites in accordance with the sponsor protocol, FDA Regulations, and ICH/GCP guidelines and to provide the best quality data to the sponsor. The CRC II will also ensure study enrollment meets or exceeds Sponsors' expectations. To ensure company goals are achieved on a timely basis. 
 
DUTIES &amp; RESPONSIBILITIES 
1. Completing all the DMCR-required training, including but not limited to ICH-GCP Certification and IATA Certification on a timely basis. 
2. Completing all the relevant training prior to study-start and on a continued basis in a timely manner. This will include but is not limited to:<ul><li>
a. Sponsor-provided and IRB-approved Protocol Training</li><li>
b. All relevant Protocol Amendments Training</li><li>
c. Any study-specific Manuals Training, as applicable</li><li>
d. Sponsor-specified EDC and/or IVRS and any other relevant Electronic Systems training.</li></ul>
3. Conducting study subject visits, and all other relevant protocol-required procedures and documenting these in a timely manner. 
4. Adherence to ALCOA-C Standards with all the relevant clinical trial documentation. 
5. Completing data entry and query resolution in a timely manner as per internal company guidelines and as per sponsor expectations. 
6. Demonstration of appropriate and timely follow-up on the action items, at their respective sites. 
7. Demonstrated understanding and implementation of Laboratory Manuals and protocol-specified laboratory procedures, storage, temperature monitoring, equipment calibration, and laboratory kit inventory, under the direction of the Site/Study Management Team, for assigned protocols. 
8. Liaising with the Laboratory team, Data team, Administrative staff, Clinical Investigators, Research Participants and Sponsor/CRO representatives, under the direction of the Site/Study Management Team, for assigned protocols. 
9. Demonstrating adherence and compliance to the assigned protocols at their respective site(s). 
10. Maintaining a working knowledge of current FDA regulations, ICH-GCP guidelines, all the organizational SOPs, all the guidance documents, and assigned study protocol(s) 
11. Maintaining a working knowledge of the recruitment and retention process for their assigned protocol(s) at their respective site(s). 
12. Demonstrating visit preparedness for all the relevant sponsor and CRO visits for their assigned protocol(s) 
13. Maintaining a working knowledge of the most recent versions of the Study Protocols, Informed consents, Study Manuals, and all the other relevant study-related documents that are utilized and implemented for the assigned protocols at their respective site(s). 
14. Oversee reporting of all Adverse and Serious Adverse Events and any other relevant Safety Information to the appropriate authorities per internal company guidelines, Sponsor, IRB, and ICH-GCP Guidelines. 
15. Completing data entry and query resolution in a timely manner as per internal company guidelines and as per sponsor expectations. 
16. Striving to meet Sponsor subject enrollment goals for their assigned protocols at their respective site(s). 
17. Being prepared for and available at all required company meetings. 
18. Submitting required administrative paperwork per company timelines. 
19. Occasionally attending out-of-town Investigator Meetings 
20. Conduct patient consent discussions and ensure comprehension of medical procedures, risks, benefits, and alternatives 
21. Provide clear explanations of study protocols and ensure patients' understanding before obtaining their consent 
22. Facilitate effective communication between patients, healthcare providers, and research staff 
23. Any other matters as assigned by management. 
KNOWLEDGE &amp; EXPERIENCE 
Education:<ul><li>
High School Diploma or equivalent required; Bachelor's degree preferred</li><li>
Foreign Medical Graduates preferred</li></ul>
Experience:<ul><li>
At least 2 years of experience as a CRC, preferably with practice coordinating industry-sponsored vaccines in a private setting.</li></ul>
Credentials:<ul><li>
ACRP or equivalent certification is preferred</li></ul>
Knowledge and Skills:<ul><li>
Be an energetic, go-getter who is detail-oriented and can multi-task.</li><li>
Be goals-driven while continuously maintaining quality.</li><li>
Proficient communication and comprehension skills both verbal and written in the English language are required.</li><li>
Proficient Bi-lingual (English/Spanish) communication and comprehension skills both in verbal and written are preferred.</li></ul></div>

Clinical Research Coordinator II

<div><div>Summary:
The Senior Director of Monitoring Engineering is a strategic technical leadership role responsible for architecting, scaling, and driving the execution of ADT&rsquo;s next-generation, AI-powered &ldquo;Monitoring as a Service&rdquo; platform. This leader oversees Development teams to deliver resilient, cloud-native monitoring services that integrate AI/ML, IoT orchestration, and human-in-the-loop operations. Reporting to the VP of Platform Product and Engineering, this role ensures ADT&rsquo;s monitoring services are proactive, predictive, and prioritize customer safety.
Duties and Responsibilities:
<ul><li>Platform Strategy and Evolution: Architect and lead the transition to a cloud-native, microservices-based platform capable of ingesting billions of daily IoT events across sensors and cameras.</li>
<li>AI and ML Engineering: Partner with Data Science to productionize models for event classification, object detection, and anomaly prediction while building robust AI Ops pipelines.</li>
<li>Human-in-the-Loop Systems: Design AI workflows that balance automation with human empathy, implementing real-time feedback loops and AI-assisted incident management tools.</li>
<li>Technical Leadership: Lead the planning and deployment of cloud-native services, enhancing $CI/CD$ pipelines and automation tools to boost developer agility and code quality.</li>
<li>Operational Excellence: Define platform-wide SLOs/SLIs for latency and uptime, overseeing multi-region, fault-tolerant infrastructure across AWS, GCP, or Azure.</li>
<li>Innovation and Experimentation: Develop digital twin simulations and &ldquo;AI Experience Labs&rdquo; to prototype and test multimodal AI applications in real environments.</li>
<li>Risk Management: Proactively identify and mitigate technical and scheduling risks while establishing operational policies and procedures.</li>
<li>Additional duties as assigned.</li>
</ul>Skills and Competencies:
<ul><li>Technical Expertise: Deep engineering knowledge across cloud-scale architectures, real-time streaming, microservices design, API development, and AI/ML system lifecycles.</li>
<li>Strategic Leadership: Proven ability to manage high-performing, distributed teams and align technical initiatives with financial and business objectives.</li>
<li>AI-Native Thinking: Passion for creating AI systems that augment human intelligence and provide personalized security experiences.</li>
<li>Communication: Effective at influencing and aligning stakeholders at all levels, from IT to business leadership.</li>
<li>Analytical Problem-Solving: A data-driven approach to decision-making, combining creative prototyping with rigorous experimentation.</li>
<li>Supervisory: Oversees a diverse team of platform engineers, ML specialists, and works closely with Enterprise Architecture.
</li></ul>Minimum Qualifications:
<ul><li>Education: Bachelor&rsquo;s degree in Computer Science, Engineering, Business Administration, or a related field.</li>
<li>Professional Experience: 20+ years of professional experience, with at least 10+ years in engineering and a track record of launching B2B or B2C products.</li>
<li>Leadership Experience: 5+ years leading distributed teams and managing technical leaders.</li>
<li>Technical Mastery: Proficiency in container orchestration (Kubernetes, Docker), Infrastructure as Code (Terraform), and modern cloud infrastructure.</li>
</ul>Preferred Qualifications:
<ul><li>Industry Experience: Prior experience in security, smart home, or IoT industries.</li>
<li>Internal Tenure: 10+ years of experience specifically at ADT.</li>
<li>AI Integration: Experience integrating GenAI, LLMs, or multimodal AI into customer-facing products.</li>
</ul><div>Los Angeles Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
</div><div>Philadelphia Applicants: Background checks will be conducted during the employment process. Any information will be reviewed through an individualized assessment in accordance with the Philadelphia Fair Criminal Record Screening Standards Ordinance.
</div></div><div></div><div>ADT is an Equal Employment Opportunity (EEO) Employer. We celebrate diversity and are committed to building an inclusive team that represents a variety of backgrounds, perspectives, and skills. ADT strives to ensure every employee and applicant feels valued. Visit us at jobs.adt.com/diversity to learn more.</div></div>

Senior Director Monitoring Engineering

LERETA, LLC

<div>The Senior Data Engineer leads the design, modernization, and operational support of the enterprise data platform. This role is responsible for architecting, optimizing, and supporting enterprise data integration, warehousing, reporting, and automation solutions across Azure, Snowflake, Microsoft BI technologies, and the Power Platform.

Key Responsibilities:
<ul>
<li>Defines and implements enterprise data architecture leveraging Azure Data Factory (ADF), Azure Data Lake Storage (ADLS Gen2), Azure SQL, Snowflake, Snowflake OpenFlow, SSIS, SSRS, Power BI, Power Automate, and Power Query.</li>
</ul><ul><li>Leads conversion of SSIS packages to Azure Data Factory, Snowflake OpenFlow and modern ELT frameworks</li>
</ul><ul><li>Designs scalable ingestion patterns to prevent duplicate extracts and enable incremental loading</li>
</ul><ul><li>Optimizes long-running data extractions and improves pipeline performance</li>
</ul><ul><li>Manages and tunes Snowflake warehouses for performance and cost efficiency</li>
</ul><ul><li>Develops and supports Power BI datasets, data models, and enterprise reporting solutions</li>
</ul><ul><li>Supports and modernizes SSRS reporting and downstream Power Platform dependencies</li>
</ul><ul><li>Develops automation workflows using Power Automate to streamline operational processes</li>
</ul><ul><li>Utilizes advanced Excel capabilities for analysis, reconciliation, validation, and business support</li>
</ul><ul><li>Establishes best practices for data modeling, environment promotion (Dev/QA/Prod), naming conventions, monitoring, and operational support</li>
</ul><ul><li>Provides Tier 2 / Tier 3 production support for data integration and reporting platforms</li>
</ul><ul><li>Participates in Agile/Scrum ceremonies including sprint planning, backlog refinement, and progress reporting.</li>
</ul><ul><li>Identifies obsolete fact tables, unused reports, and redundant processes to streamline the data ecosystem</li>
</ul><ul><li>Partners with leadership to provide visibility into sprint progress, platform health, and modernization initiatives</li>
</ul><ul><li>Leverages Ataccama ONE for governance, data quality monitoring, and metadata management</li>
</ul><ul><li><div><ul><li>Integrates and maintain Ataccama data quality workflows to support enterprise data governance</li>
</ul>
</div></li></ul>This position will perform other duties as assigned based on the needs of the department.

Salary range: $114,280 - $140,000

Core Competencies:
<ul>
<li>Strong communication skills with the ability to translate technical concepts to business stakeholders</li>
</ul><ul><li>Strong analytical and problem-solving abilities</li>
</ul><ul><li>High attention to detail and data accuracy</li>
</ul><ul><li>Strong work ethic with a sense of ownership and accountability</li>
</ul><ul><li>Ability to prioritize effectively in a production support and development environment</li>
</ul><ul><li>Collaborative team player with the ability to work cross-functionally</li>
</ul>
Required Education &amp; Experience:
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Information Systems, or equivalent field</li>
<li>10+ years of experience in software design and development, with the majority of time focused in a data engineering role</li>
<li>Required Technical Skills:
<ul><li>Azure Data Factory</li>
</ul>
<ul><li>Azure Data Lake Storage (Gen2)</li>
</ul>
<ul><li>Snowflake (data modeling, performance tuning, streams &amp; tasks)</li>
</ul>
<ul><li>Snowflake OpenFlow</li>
</ul>
<ul><li>SQL Server Integration Services (SSIS)</li>
</ul>
<ul><li>SQL Server Reporting Services (SSRS)</li>
</ul>
<ul><li>Power BI (data modeling, DAX, report optimization)</li>
</ul>
<ul><li>Power Automate</li>
</ul>
<ul><li>Power Query</li>
</ul>
<ul><li>Visual Studio</li>
</ul>
<ul><li>Azure DevOps</li>
</ul>
<ul><li>Advanced SQL development and tuning</li>
</ul>
<ul><li>Microsoft Excel (advanced formulas, pivot tables, data validation)</li>
</ul>
<ul><li>Git-based version control and CI/CD practices</li>
</ul>
<ul><li>Agile / Scrum methodology</li>
</ul>
<ul><li>Enterprise production support experience</li></ul></li></ul></div>

Senior Data Engineer

<div>Company Overview: 
Req ID: 365619 
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. 
We are currently seeking a Data Scientist / ML engineer with 4+ years of experience to join their team in Irving, TX. This person should be comfortable with the following:
<ul><li>Driving new data insights to uncover business opportunities &amp; revenue streams.</li>
<li>Have a firm understanding of statistics and data visualization for communication.</li>
<li>Has an understanding of business growth areas &amp; how to utilize important data. - Be responsible for identifying new analytic trends/ data needs and repeatable analytic solutions.</li>
<li>Able to work with key stakeholders to generate hypotheses and create analytic models that answer impactful business questions</li>
<li>Identifies, analyzes and interprets trends or patterns in complex data sets using various supervised and unsupervised ML algorithms such as regression, classification or clustering ML approaches where applicable.</li>
<li>Be experienced in Data Wrangling and Dynamic Model Tuning.</li>
</ul>Key Responsibilities: 
<ul><li>Working on projects leveraging your expertise in data science, artificial-intelligence and machine learning</li><li>Assist in breaking down complex business problems, developing solutions, and delivering with a high degree of focus on client satisfaction.</li><li>Conduct market research, develop a point-of-view and communicate effectively back to clients and stakeholders.</li><li>Bring innovative thinking, resourcefulness leveraging best practices and creativity to achieve successful client outcomes.</li><li>Establish relationships with our clients at the appropriate levels, gain an understanding of the project work and problems encountered.</li><li>Work with data sets of varying degrees of size and complexity including both structured and unstructured data.</li><li>Piping and processing massive data-streams in distributed computing environments.</li><li>Implement batch and real-time model scoring.</li><li>Assemble large, complex data sets that meet functional / non-functional business requirements.</li><li>Apply business knowledge to analyze data, develop reports and solve problems &middot;Perform ad hoc analyses of data depending on business needs.</li><li>Participate in the analysis and resolution of issues related to information flow and content with data stakeholders.</li></ul>
 
Basic Qualifications:
<ul><li>4+ years of experience supporting data science projects in a consulting environment.</li>
<li>4+ year(s) of experience participating in projects that focused on one or more of the following areas:
<ul><li>Predictive Analytics</li>
<li>Data Design</li>
<li>Statistics</li>
<li>AI/ML</li>
<li>ML Ops</li>
<li>3+ years of experience using Python and/or R to analyze disparate datasets.</li>
</ul></li></ul>Preferred Skills:
<ul><li>Master's degree preferred.</li>
<li>Exercises sound judgment with minimal support from practice executives through structured problem identification, mitigation, and resolution.</li>
<li>You are a team player that is a consistent, dependable performer with an excellent work ethic, flexible &quot;can-do &quot; attitude, and a commitment to success.</li>
<li>Professional verbal and written communication.</li>
<li>Undergraduate or Graduate degree preferred</li>
<li>1+ year of Gen AI / LLM hands on development experience</li>
</ul>#LI-NorthAmerica 
About NTT DATA: 
 
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com 
 
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.</div>

Data Scientist

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