Senior Data Engineer
Baker Tilly (Baker Tilly US, LLP) (company site, opens in a new tab)5–8 yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable ETL/ELT pipelines on Azure Databricks supporting medallion architecture data layers (bronze to platinum) ensuring reliability and performance.
- Implement data governance and observability using Unity Catalog including access control, data lineage, and audit mechanisms.
- Enable cross-cloud data sharing and migration into Azure Databricks lakehouse and support analytics and AI/ML downstream consumption via optimized Delta Lake data models.
Minimum Requirements
- Bachelor’s degree in IT, Computer Science, Data Science, Analytics, or Statistics.
- 5–8 years of hands-on experience in data engineering with substantial work on Databricks.
- Deep expertise in Azure Databricks components, Spark/PySpark, SQL, and Delta Lake medallion-architecture pipelines.
- Experience with data governance (Unity Catalog), data-quality frameworks, cross-cloud data sharing/migration, and data orchestration with CI/CD.
Ideal Candidate Profile
- Experienced in building and governing complex data pipelines in enterprise Azure Databricks environments, with strong operational and observability focus.
- Skilled in integrating multi-cloud data ecosystems and supporting AI/ML initiatives through advanced data modeling and feature engineering.
- Ability to independently manage projects using Agile or hybrid methodologies with strong problem-solving in highly regulated domains like finance or assurance.