Data Engineering Lead - SQL and PySpark
Optum (company site, opens in a new tab)7+ yrsNoidaOn-siteDirect career pageEst. 25–40 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design and implement scalable data pipelines focusing on data integration and identity management (IDM) testing using AI technologies.
- Optimize ETL/ELT processes, automate workflows, and ensure data accuracy, cleansing, validation, and governance for identity-related data.
- Collaborate with IDM architects, security teams, application owners, and business stakeholders to define data requirements and validation rules.
Minimum Requirements
- Bachelor's degree or equivalent experience.
- 7+ years of experience in Data Engineering.
- Proficiency in SQL, Python, Spark, and ETL/ELT development.
- Hands-on experience with Azure Data Factory, Databricks or equivalent cloud platforms, and Generative AI technologies (OpenAI, Claude, Gemini, LangChain, Agents, RAG, Vector Databases, Prompt Engineering, fine-tuning).
Ideal Candidate Profile
- Experienced in managing large-scale, cloud-native data engineering projects with emphasis on data governance and quality frameworks.
- Skilled in leveraging Generative AI within data integration and testing environments.
- Capable of coordinating across technical and business teams to translate complex requirements into scalable and reliable data solutions.