Principal Data Engineer
GSK (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 30–50 LPA
Posted 3d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable production data pipelines and data products supporting analytics and AI across the organization.
- Implement data quality validation, monitoring, lineage tracking, and automate data processes using AI tools and agents.
- Collaborate with business partners and data scientists to deliver reliable datasets, support ML projects, and ensure reproducible model data preparation.
Minimum Requirements
- 5+ years of experience as a data engineer building and operating production data pipelines.
- Strong skills in SQL (complex queries, performance tuning), Python, and PySpark for large-scale data processing.
- Experience with Azure Databricks technologies including Delta tables, Unity Catalog, Databricks Workflows, SQL Warehouses, and Azure Data Factory for ETL/ELT pipeline design and orchestration.
- Familiarity with CI/CD tools (Git, Azure DevOps or GitHub), automated testing for data code, and data governance/catalog tools (such as Collibra or Unity Catalog).
Ideal Candidate Profile
- Experienced in supporting data scientists and ML projects, including dataset versioning, feature tables, and MLOps on Azure or Databricks platforms.
- Able to design and implement data quality frameworks, monitoring, and lineage to ensure audit readiness and trustworthy data.
- Skilled in building or using LLM-based automation or AI agents for data pipeline automation and self-service analytics.