SR. DATA ENGINEER
TE Connectivity (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 22–36 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain declarative ETL/ELT pipelines using Databricks Lakeflow / DLT on Medallion Architecture ensuring governed, audit-ready data products with lineage and CI/CD.
- Translate SAP ABAP programs into modern Databricks workflows and design high-performance, scalable semantic models for finance reporting in Microsoft Fabric, Sigma Computing, or Databricks.
- Act as a strategic consultant to senior finance stakeholders by gathering requirements, producing business documentation, performing root cause analysis on data/platform issues, and mentoring engineers and analysts.
Minimum Requirements
- Proficiency in building ETL/ELT pipelines with Databricks, Python, PySpark, and DBT tools.
- Experience decoding SAP ABAP programs and orchestrating Databricks workflows.
- Skilled in designing semantic data models (star-schema, RLS) for finance reporting.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Strong expertise in Medallion Architecture and data governance using Unity Catalog in Databricks environments.
- Experience working closely with finance domain stakeholders, capable of framing business problems and delivering documentation such as BRDs.
- Demonstrated ability to troubleshoot complex data and platform issues and implement architectural improvements.