data engineering lead

MASTER-WORKS

<div>Technical Lead &ndash; Data &amp; AI InnovationRole Overview
As a Technical Lead at Master Works, you will spearhead the design, development, and delivery of cutting-edge data and AI innovation projects. This role requires a strategic technical mind to guide engineering teams and ensure that every solution aligns with the company&rsquo;s mission of delivering high-impact business value and maintaining its market leadership in the technology sector.
Key Responsibilities<ul><li>
Architectural Leadership: Architect and oversee the implementation of enterprise-grade data, analytics, and AI/ML solutions.</li><li>
Technical Execution: Lead technical execution across cross-functional teams to ensure seamless delivery and high-quality outputs.</li><li>
Innovation &amp; Experiments: Drive Proof of Concepts (POCs), pilot programs, and innovation experiments utilizing emerging data and AI technologies.</li><li>
Strategic Roadmap: Translate complex business requirements into scalable technical roadmaps and robust solution designs.</li><li>
Governance &amp; Compliance: Ensure all delivered solutions adhere to the highest standards of quality, security, and data/AI governance.</li><li>
Stakeholder Management: Effectively communicate project milestones, technical risks, and strategic insights to all key stakeholders.</li><li>
Vendor Collaboration: Partner with multiple vendors and internal departments to ensure the realization of intended organizational value.</li></ul>
Qualifications &amp; Requirements<ul><li>
Years of Experience: A minimum of 10+ years of professional experience in technical leadership or senior engineering roles.</li><li>
Domain Expertise: Extensive experience in delivering end-to-end solutions within data engineering, data visualization, and AI/ML domains.</li><li>
Proven Track Record: Demonstrated success in transitioning data and AI solutions from experimental phases (POC) to production-grade environments.</li><li>
Leadership &amp; Communication: Exceptional leadership skills with the ability to solve complex problems and communicate technical concepts to non-technical audiences.</li><li>
Education: Bachelor&rsquo;s degree in Computer Science, Computer Engineering, or a related technical field.</li></ul>
Technical Stack &amp; Tools
The ideal candidate must possess hands-on expertise in the following (but not limited to):<ul><li>
ETL &amp; Integration: Informatica IDMC for enterprise data integration and management.</li><li>
BI &amp; Analytics: SQL Server and Power BI for advanced business intelligence and reporting.</li><li>
AI &amp; Advanced Analytics: Dataiku for building, deploying, and scaling AI and analytical applications.</li></ul></div>

Technical lead

VCU Health System

<div>We&rsquo;re seeking a Data Engineer III to help lead the design and evolution of our enterprise data platform in support of both clinical quality improvement and research. In this senior‑level, hands‑on role, you&rsquo;ll architect and scale modern data pipelines that power analytics, insights, and decision‑making across a complex academic healthcare environment. You&rsquo;ll take ownership of core data engineering patterns, help define enterprise data standards and strategy, and mentor other engineers&mdash;while remaining deeply engaged in building cloud‑based solutions that transform diverse data into trusted assets that advance patient care, operational excellence, and scientific discovery. 
 
The Data Engineer is responsible for designing, developing and maintaining scalable data pipelines and data infrastructure transforming raw data into insights.
 
 
Leveraging expertise in data engineering, data management, data operations and governance frameworks, this position will collaborate with cross-functional teams to architect scalable and efficient data pipelines, optimize data storage and retrieval systems, and ensure data quality and integrity throughout the data lifecycle.
Essential Job Statements<ul><li>
Leads the design and implementation of scalable data pipelines for ingesting, transforming, and loading multi-format, batch or streaming data from various sources into enterprise Data Lakehouse.</li><li>
Ensures data quality and integrity through data cleansing, validation, and transformation techniques.</li><li>
Automates data processing workflows using scripting languages and orchestration tools.</li><li>
Builds and deploys RESTful API&rsquo;s and web services for data access and data requests.</li><li>
Helps and orchestrates the definition of data management strategy and roadmap for the organization.</li><li>
Collaborates with data architects, data engineers, and product managers to align data solutions with business strategy.</li><li>
Stays current with industry trends, vendor product offerings, and evolving data technologies to ensure the organization leverages the best modern data engineering tools.</li><li>
Leads the development and maintenance of technical design documents, coding best practices and standards to ensure consistent and reliable data management processes are in place.</li><li>
Responsible for maintaining legacy technologies and processes as new ones are adopted.</li><li>
Mentors junior Data Engineers.</li></ul>
Patient Population
Not applicable to this position.
Employment Qualifications 
Required Education:
Bachelor&rsquo;s Degree in Business, IT, Math, Data Analytics, Engineering, or related discipline
Combination of education and experience may be considered in lieu of a degree.
Preferred Education:
Master&rsquo;s degree in Business, IT, Math, Data Analytics, Engineering or related discipline
Licensure/Certification Required:
Licensure/Certification Preferred:
Minimum Qualifications
Years and Type of Required Experience
8+ years of experience in Data Engineering, Data Management or Data Warehouse/Lakehouse design and development.
5+ years of experience in Python/PySpark for building and maintaining data pipelines.
3+ years of experience with cloud based modern data platforms and services (e.g., Azure, GCP or AWS).
Other Knowledge, Skills and Abilities Required:
Expert knowledge of database systems, data modeling techniques, and SQL proficiency.
Substantial experience creating and enhancing ETL and ELT processes.
Significant experience working with JSON/YAML/XML/Parquet and other open-source data interchange and storage formats.
Experience working with big data technologies like Spark, Kafka, NoSQL DB, Splunk etc.
Significant experience with agile development processes and concepts.
Strong knowledge of DevOps practices and CI/CD processes.
Knowledge of Microservices architecture, Data Product and Data Mesh concepts.
Other Knowledge, Skills and Abilities Preferred:
Displays intellectual curiosity and integrity.
Experience in healthcare environment.
Working Conditions
Physical Requirements
Physical Demands:
Work Position: Sitting
Additional Physical Requirements/ Hazards
Physical Requirements:
Hazards:
Mental/Sensory &ndash; Emotional
Mental / Sensory: Strong Recall, Reasoning, Problem Solving, Hearing, Speak Clearly, Write Legibly, Reading, Logical Thinking
Emotional: Fast-paced environment, Able to Handle Multiple Priorities, Frequent and Intense Customer Interactions, Able to Adapt to Frequent Change
Days
EEO Employer/Disabled/Protected Veteran/41 CFR 60-1.4.</div>

Data Engineer III

Apple

The people here at Apple don&rsquo;t just create products - they create the kind of wonder that&rsquo;s revolutionized entire industries. It&rsquo;s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. 
 
Apple is seeking an experienced, detail-minded data engineering team lead to join our Finance Process, Analytics, Reporting &amp; Technology (PART) Data Operations team. You will lead a team of data engineers delivering trustworthy, high-quality data to our Retail Finance analysts. If you are someone who looks forward to solving complex business problems, developing engineering talent, and building reliable data foundations, please reach out to us. 
 
Description 
 
You will lead a team of data engineers to architect, develop, and test large scale and efficient solutions that provide Apple leadership with the accurate data required to rapidly understand and adapt to changing business conditions. 
 
We are a growing team with plenty of interesting technical and business challenges to solve. We seek a self-starter who is willing to learn fast, adapt well to changing requirements, develop others, and work with cross functional teams.&quot;,&quot;responsibilities&quot;:&quot;Lead, mentor, and develop a team of data engineers, setting technical standards and fostering a culture of engineering excellence 
 
Design and implement scalable, efficient, and high-quality methods of consuming data from a diverse set of sources with variable quality and predictability 
 
Establish and maintain data quality frameworks, including automated validation, monitoring, and alerting 
 
Create data products, enabling self-service and predictability by any consumer 
 
Build libraries and frameworks that drive leverage and productivity for the entire team 
 
Optimize and maintain solutions, driving improvements in efficiency, data quality, and operational excellence 
 
Manage team workload and priorities, balancing competing demands while maintaining quality 
 
Preferred Qualifications 
 
2+ years leading or mentoring other engineers 
 
Expertise in languages like Python and technologies like Airflow, Spark, Trino, Kafka, Docker, Iceberg, Databricks 
 
Hands-on experience with database design and architecture in cloud data warehouses and lakehouse environments 
 
Ability to analyze complex datasets and design solutions with optimum quality and efficiency 
 
Appreciation for data quality and validation in every pipeline 
 
Familiarity with SDLC best practices, version control, CI/CD 
 
Strong communication skills with the ability to translate between technical and business contexts 
 
Experience with cloud services such as AWS, GCP, or Azure for data infrastructure and storage 
 
Experience with streaming interfaces and pipelines 
 
Finance and accounting process experience 
 
Minimum Qualifications 
 
6+ years software engineering, including strong SQL and data focus 
 
BS in Engineering / Computer Science 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $146,300 and $244,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Data Engineer, PART DataOps

Acuity Inc.

<div>Overview:<div></div><div> 
Acuity, Inc. seeks a Technical Team Lead to lead architecture, engineering, and delivery for a mission-critical enterprise analytics platform. This role drives the design and execution of scalable data and analytics solutions that deliver high-confidence, decision-grade insights across a complex, multi-source environment.</div><div></div><div> 
The Technical Team Lead serves as the primary technical authority, combining hands-on engineering with delivery leadership. This individual sets technical direction, leads Agile execution, and drives high-quality outcomes across data engineering, analytics, cloud architecture, and platform operations.</div><div></div><div> 
Why Acuity?</div><div></div><div> 
We&rsquo;re building more than careers&mdash;we&rsquo;re building a place people genuinely love to work. At Acuity, you&rsquo;ll get:</div><ul><li>Strong work-life balance and a people-first culture</li><li>Competitive compensation + Health/Dental/Vision coverage</li><li>401(k) with company match</li><li>Up to $6,000/year for training &amp; professional development</li></ul><div></div><div> 
 Recognized as a Best Places to Work (Washington Business Journal, 8+ years) 
 Named a Top Workplace by The Washington Post (2022&ndash;2025)</div><div></div><div> 
Ready to grow with a team that invests in you? Learn more: www.myacuity.com</div>
Why Acuity?: Are you ready to use your expertise in the areas of IT Modernization, Data Enablement, and Hyperautomation to make a real difference? Join Acuity, Inc., a technology consulting firm that supports federal agencies. We combine industry partnerships and long-term federal experience with innovative technical leadership to support our customers&rsquo; critical missions. Responsibilities:
<ul><li>Lead the architecture, design, and implementation of enterprise-scale data and analytics solutions using Databricks and AWS</li><li>
Own and evolve data pipelines across ingestion, transformation, curation, and delivery for large-scale datasets</li><li>
Lead implementation of entity resolution and data linking capabilities, including technologies such as Senzing or similar platforms</li><li>
Establish and enforce standards for data quality, integrity, lineage, and traceability across integrated data sources</li><li>
Serve as the primary technical point of contact, translating business and mission needs into delivery plans, architecture decisions, and actionable engineering tasks</li><li>
Provide hands-on technical leadership through coding, design reviews, troubleshooting, and resolution of complex platform issues</li><li>
Lead and mentor engineers, setting standards for engineering quality, data modeling, platform design, and technical execution</li><li>
Manage Agile/Scrum delivery, including sprint planning, backlog refinement, dependency management, and progress tracking</li><li>
Drive platform performance, scalability, resiliency, and operational stability across data pipelines and analytics workloads</li><li>
Oversee AWS cloud architecture, including compute, storage, networking, and platform services that support the analytics environment</li><li>
Implement and mature DevSecOps practices, including CI/CD pipelines, automated testing, release discipline, and secure deployment</li><li>
Coordinate across stakeholders, product owners, and mission partners to align platform capabilities with evolving operational requirements</li><li>
Enforce security controls, compliance requirements, and vulnerability remediation activities across the platform lifecycle</li></ul>
Qualifications:
<ul><li>8+ years of experience in technical leadership, solution delivery, or engineering management roles</li><li>
Strong hands-on experience with Databricks, including data engineering, analytics workflows, and platform delivery</li><li>
Proven experience designing, building, and operating enterprise data platforms in AWS</li><li>
Demonstrated expertise in large-scale data processing, ETL/ELT pipelines, and data modeling</li><li>
Experience implementing entity resolution, record linkage, or multi-source data integration solutions</li><li>
Experience leading Agile execution, including backlog management, sprint execution, and delivery oversight</li><li>
Strong understanding of data architecture, distributed processing, and performance optimization</li><li>
Experience implementing CI/CD and DevSecOps pipelines for data and platform engineering</li><li>
Ability to translate complex requirements into actionable technical plans and drive execution across teams</li><li>
Experience working in fast-paced, mission-driven, multi-stakeholder environments</li><li>
Bachelor&rsquo;s degree, or equivalent relevant experience</li></ul><div></div><div> 
Preferred Qualifications</div><ul><li>
Experience with Senzing or comparable entity resolution platforms</li><li>
Experience with data governance, lineage, and cataloging frameworks, such as Unity Catalog or equivalent</li><li>
Experience with both batch and streaming data architectures</li><li>
Experience with containerization and orchestration, including Kubernetes</li><li>
Experience with infrastructure as code and automated environment provisioning</li><li>
Experience with platform monitoring, observability, and performance tuning for data-intensive systems</li><li>
Experience using Jira, Confluence, or similar Agile delivery tools</li></ul><div></div><div> 
Preferred Certifications</div><ul><li>
Databricks Certified Data Engineer Associate</li><li>
Databricks Certified Machine Learning Associate</li><li>
AWS Certified Data Analytics &ndash; Specialty</li><li>
AWS Certified DevOps Engineer &ndash; Professional</li><li>
Certified ScrumMaster (CSM)</li><li>
Certified Scrum Professional (CSP)</li><li>
PMI Agile Certified Practitioner (PMI-ACP)</li></ul><div></div><div> 
Clearance Requirement</div><ul><li>
Must be a U.S. Citizen with the ability to obtain and maintain U.S. suitability</li></ul><div></div><div> 
About Acuity</div><div>
At Acuity, your work matters&mdash;and so does your experience. We&rsquo;re a management and technology consulting firm supporting critical federal missions, where you&rsquo;ll have the opportunity to solve meaningful challenges, work alongside high-performing teams, and make a real impact from day one.</div><div> 
Why You&rsquo;ll Love Working Here:</div><div></div><div> 
Grow Your Career, Your Way 
We invest in you with personalized development plans, mentorship, and up to $6,000 annually for training and certifications&mdash;so you can keep building the career you want.</div><div></div><div> 
Be Part of Something Innovative 
You&rsquo;ll work on cutting-edge solutions that support important government missions, in an environment that encourages new ideas and continuous improvement.</div><div></div><div> 
Thrive in a People-First Culture 
Collaboration, respect, and support aren&rsquo;t just values&mdash;they&rsquo;re how we operate. Your voice is heard, your contributions are recognized, and your success is shared.</div><div></div><div> 
Feel Valued and Rewarded 
We offer competitive compensation, comprehensive benefits, and a strong focus on work-life balance so you can perform at your best&mdash;at work and at home.</div><div></div><div> 
Join an Award-Winning Team 
Our employees consistently rank us among the best&mdash;earning honors like Best Places to Work (Washington Business Journal, 9+ years) and Top Workplaces (The Washington Post, 2022&ndash;2025).</div><div></div><div> 
Bring Your Whole Self to Work 
We&rsquo;re committed to building a diverse, inclusive environment where everyone feels respected, supported, and empowered to succeed.</div><div> 
Make Your Impact</div><div>
Join Acuity and be part of a team where your ideas are valued, your growth is supported, and your work drives meaningful outcomes.</div><div>
Learn more: www.myacuity.com</div><div> 
Acuity is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</div><div></div><div> 
Recruiting Scams and Fraud</div><div>
Acuity Inc. has been made aware of fraudulent job postings and individuals impersonating company recruiters. These scams may include fake job offers, requests for sensitive personal information, or demands for payment.</div><div></div><div> 
Please note:</div><ul><li>
Acuity never asks candidates to pay for job applications, equipment, or training.</li><li>
All official communications will come from an @myacuity.com email address.</li><li>
If you are unsure about a job posting or recruiter, please verify the opportunity on our Careers page.</li></ul><div>
If you believe you have been targeted by a scam or have concerns about the authenticity of a job listing claiming to represent Acuity Inc., please contact us at careers@myacuity.com. Protecting your security and trust is important to us.</div></div><div></div>

Technical Team Lead

Booz Allen Hamilton

<div>Data Engineer, Lead
The Opportunity:
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there&rsquo;s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it&rsquo;s gathered from disparate sources. We need an experienced data professional like you to help our clients find answers in their data to impact important missions from fraud detection to cancer research, to national intelligence.
As a Data Engineer at Booz Allen, you&rsquo;ll use your expertise to help build advanced technology solutions and lead data engineering activities on some of the most mission-driven projects in the industry. You&rsquo;ll guide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful.
Here, you&rsquo;ll mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You&rsquo;ll use your expertise in analytical exploration and data examination while you oversee the assessment, design, building, and maintenance of scalable platforms for your clients.
Work with us to use data for good.
Join us. The world can&rsquo;t wait.
You Have:<ul><li>
5+ years of experience in database architecture and modeling</li><li>
5+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data</li><li>
5+ years of experience developing scalable ETL or ELT workflows for reporting and analytics</li><li>
5+ years of experience using Python or SQL</li><li>
5+ years of experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka</li><li>
2+ years of experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud</li><li>
Secret clearance</li><li>
Bachelor&rsquo;s degree
</li></ul>Nice If You Have:<ul><li>
5+ years of experience with UNIX or Linux, including basic commands and Shell scripting</li><li>
5+ years of experience with Agile engineering practices</li><li>
3+ years of experience with NoSQL implementation, including MongoDB or Cassandra</li><li>
3+ years of experience with data warehousing, including AWS Redshift, MySQL, MSSQL, Orcale, Postgresql, or Snowflake</li><li>
Cybersecurity Certification such as Security+ Certification, AI and ML Associate, Red Hat, Linux+, or AWS Certification such as AWS Solutions Architect Certification</li></ul>
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model 
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.<ul><li>
Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</li><li>
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</li><li>
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</li></ul>
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</div>

Data Engineer, Lead

Accenture

<div>
 As an Oracle Data Conversion Lead at Accenture, you will be at the forefront of designing, developing, and maintaining advanced data solutions to support data generation, collection, and processing. Your role will involve creating and optimizing data pipelines, ensuring data quality, and implementing ETL processes to enable seamless data migration and deployment across systems.
 
 
 In this position, you will act as a subject matter expert, leading and managing teams to deliver high-quality results. You will be responsible for driving team decisions, collaborating with multiple stakeholders, and contributing to strategic initiatives. Your expertise will be instrumental in solving complex challenges for your immediate team and across various teams.
 
 
 
 Key Responsibilities:
 
 
 
 
 <li>
 Design and implement innovative data solutions to enhance operational efficiency and scalability.
 
 </li>
 <li>
 Develop and optimize data pipelines to ensure high performance, reliability, and data quality.
 
 </li>
 <li>
 Lead ETL processes for seamless data migration and deployment across systems.
 
 </li>
 <li>
 Collaborate with cross-functional teams to identify and implement data-driven strategies that align with business objectives.
 
 </li>
 <li>
 Conduct regular assessments of data quality and implement necessary improvements to maintain high standards.
 
 </li>
 <li>
 Stay updated with industry trends, emerging technologies, and best practices to continuously improve data engineering practices.
 
 </li>
 <li>
 Mentor and guide team members, fostering a culture of collaboration and continuous learning.
 
 </li>
 <li>
 Master proficiency in Oracle Data Integrator (ODI).
 
 </li>
 <li>
 Expert proficiency in Data Migrations, Data Access, Data Engineering, Data Pipelines, and Data Processing.
 
 </li>
 <li>
 Strong leadership and collaboration skills to manage teams and engage with multiple stakeholders effectively.
 
 </li>
 <li>
 Excellent problem-solving abilities to deliver innovative solutions across diverse teams and projects.
 
 
 
 </li>
</div>

Oracle Data Conversion lead- Associate Manager

<div>
 
 Overview:
 
 
 
 As an Oracle Data Conversion Lead at Accenture, you will play a pivotal role in designing, developing, and maintaining robust data solutions to support data generation, collection, and processing. Your responsibilities will include creating and optimizing data pipelines, ensuring data quality, and implementing ETL processes to facilitate seamless data migration and deployment across systems.
 
 
 You will act as a subject matter expert in Oracle Data Integrator (ODI) and Data Migrations, leveraging your expertise to guide and manage teams effectively. You will be responsible for driving team decisions, collaborating with multiple teams, and contributing to strategic initiatives while delivering innovative solutions to complex challenges.
 
 
 
 Key Responsibilities:
 
 
 
 
 <li>
 Lead the design and implementation of data solutions that enhance operational efficiency and scalability.
 
 </li>
 <li>
 Collaborate with cross-functional teams to identify data requirements and deliver effective solutions.
 
 </li>
 <li>
 Develop and optimize data pipelines to ensure performance, reliability, and scalability.
 
 </li>
 <li>
 Conduct regular assessments of data quality and implement improvements to maintain high standards.
 
 </li>
 <li>
 Stay abreast of industry trends, emerging technologies, and best practices in data engineering and Oracle Data Integration.
 
 </li>
 <li>
 Provide mentorship and guidance to team members, fostering a culture of collaboration and continuous improvement.
 
 </li>
 <li>
 Master proficiency in Oracle Data Integrator (ODI).
 
 </li>
 <li>
 Expert proficiency in Data Migrations, Data Engineering, Data Pipelines, and Data Processing.
 
 </li>
 <li>
 Strong problem-solving skills with the ability to provide solutions across multiple teams.
 
 </li>
 <li>
 Excellent communication and leadership skills to manage and collaborate effectively with diverse teams.
 
 
 
 </li>
</div>

Oracle Data Conversion Lead - Associate Manager

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