Data Engineer
successfactors
Job Description
- Develop ETL/ELT pipelines using Databricks, SQL, Python/PySpark and Informatica IDMC.
- Build ingestion, transformation and curated data layers for commercial pharma datasets.
- Implement incremental loads, data partitioning, schema handling, error handling and recovery logic.
- Support source-to-target mapping implementation, technical design, unit testing and deployment documentation.
- Perform data validation, reconciliation, performance tuning and production issue resolution.
- Work with DQ Analysts/Engineers to implement business and technical validation rules.
- Support release cycles, code reviews, defect fixes and operational enhancements.
- Work as part of a Vizag-based delivery team supporting Commercial Pharma datasets and global commercial data stakeholders.
- Collaborate with business, technology, governance, quality and offshore/onshore delivery teams across time zones.
- Follow Agile delivery, SDLC, documentation, release, validation, access-control and data-governance standards.
- Contribute to knowledge management, reusable assets, SOPs, runbooks and operational excellence initiatives.
- Maintain strong communication discipline, including status updates, risk identification, issue escalation and timely stakeholder follow-through.