Data engineer • durham nc
Job Summary (List Format):</b><br /> <br /> - Play a key role in designing and developing a modern Cloud Data and Analytics platform to support Equity Compensation products for gl... Show more
Cost Estimator For Disaster Recovery Cadre.Tetra Tech is adding experienced Cost Estimators to our Disaster Recovery team to support current and future disaster recovery operations across the Unite... Show more
Terrana Biosciences is a cutting-edge agricultural biotechnology company developing innovative RNA-based products to address global agricultural challenges.We are committed to advancing sustainable... Show more
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Tetra Tech is adding experienced Cost Estimators to our Disaster Recovery team to support current and future disaster recovery operations across the United States.At Tetra Tech, we are Leading with... Show more
At Workada, we're not just labeling data, we're helping improve the technology people use every day.Our work creates the examples and feedback that make advanced systems more accurate, consistent, ... Show more
At Workada, we're not just labeling data, we're helping improve the technology people use every day.Our work creates the examples and feedback that make advanced systems more accurate, consistent, ... Show more
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Portfolio Data Science Director.GSK remains committed to achieving bold commercial ambitions for the future.By 2031, we aim to deliver 40 billion in annual sales, leveraging our existing strong per... Show more
This business unit specializes in data-driven solutions and strategic AI implementation.We help our clients unlock the full potential of their data and transform their business through innovative, ... Show more
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Tetra Tech is adding experienced Cost Estimators to our Disaster Recovery team to support current and future disaster recovery operations across the United States.At Tetra Tech, we are Leading with... Show more
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AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
Senior Data Team Lead (Remote).Myrtle Beach, United States of America | Home-based.IQVIA is seeking experienced Senior Data Team Leads to oversee end-to-end data management delivery for global clin... Show more
Tetra Tech is adding experienced Cost Estimators to our Disaster Recovery team to support current and future disaster recovery operations across the United States.At Tetra Tech, we are Leading with... Show more
Product Testers are wanted to work from home in the UK to fulfill upcoming contracts with local and international companies.We guarantee 15-25 hours per week with an hourly pay of between £18... Show more
AI data lab for training frontier models and evaluating AI agents.Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.AI... Show more
The average salary range is between $ 105,570 and $ 172,017 year , with the average salary hovering around $ 130,000 year .
Job Summary (List Format):
- Play a key role in designing and developing a modern Cloud Data and Analytics platform to support Equity Compensation products for global markets.
- Collaborate closely with architects, engineers, and business SMEs to build and release intuitive data solutions.
- Develop complex data transformations and business logic using PL/SQL (procedures, packages) on the Oracle platform.
- Utilize Oracle-related data replication technologies such as Golden Gate.
- Implement and maintain ETL/data integration processes using tools such as Informatica.
- Build and model semantic layers, facts, and dimensions, and create high-visibility reports using OBIEE.
- Use Python and Unix scripting for automation, testing, and deployment support.
- Perform performance tuning on large datasets and complex database code for optimal performance.
- Apply strong knowledge of data warehousing patterns and dimensional modeling techniques using Oracle.
- Create scalable data integration solutions in both cloud-based and on-premises environments.
- Use batch scheduling tools (e.g., Control-M, Autosys) for workflow automation.
- Utilize business intelligence and analytics tools (OBIEE/OAS) for reporting and data analysis.
- Manage source code and collaborate using GitHub and GenAI tools like GitHub Co-Pilot.
- Work within an Agile project environment.
- Required: Bachelor's Degree in a technology-related field and 10+ years of hands-on experience in data engineering, data warehousing, and analytics technologies.
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