Bangalore SR_ DATA ENGINEER KA 560076
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What you'll do
- Build declarative pipelines (Databricks Lakeflow / DLT) on Medallion Architecture (Bronze → Silver → Gold), delivering governed, audit-ready data products with Unity Catalog lineage, access controls, and CI/CD (Asset Bundles, GitHub Actions).
- Able to decode SAP ABAP programs (Z-reports, Transaction codes) into modern Databricks pipelines and orchestrate pipelines via Databricks Workflows.
- Build production grade, reliable ETL/ELT processes using Python / PySpark transformations notebooks in Databricks / DBT Tool to transform, validate and publish data from multiple sources or bronze layers.
- Design optimized, scalable and well documented Gold Layers and semantic models (Direct Lake, star-schema, RLS, incremental refresh) for high-performance finance reporting in Microsoft Fabric / Sigma Computing / Databricks.
- Build AI Integrated Insights on curated Gold-layer finance datasets to enable natural-language analytics for Finance Users.
- Act as strategic consultants to senior finance stakeholders like elicit requirements, frame problems, build business cases, and produce BRDs, dependency matrix and required documentation.
- Establish architecture standards, perform RCA on data and platform issues, close lineage / KPI gaps, and drive structural fixes.
- Mentor engineers / BI analysts and Finance users on copilots and promoting best practices.
What they're looking for
- Build declarative pipelines (Databricks Lakeflow / DLT) on Medallion Architecture (Bronze → Silver → Gold), delivering governed, audit-ready data products with Unity Catalog lineage, access controls, and CI/CD (Asset Bundles, GitHub Actions).
- Able to decode SAP ABAP programs (Z-reports, Transaction codes) into modern Databricks pipelines and orchestrate pipelines via Databricks Workflows.
- Build production grade, reliable ETL/ELT processes using Python / PySpark transformations notebooks in Databricks / DBT Tool to transform, validate and publish data from multiple sources or bronze layers.
- Design optimized, scalable and well documented Gold Layers and semantic models (Direct Lake, star-schema, RLS, incremental refresh) for high-performance finance reporting in Microsoft Fabric / Sigma Computing / Databricks.
- Build AI Integrated Insights on curated Gold-layer finance datasets to enable natural-language analytics for Finance Users.
- Act as strategic consultants to senior finance stakeholders like elicit requirements, frame problems, build business cases, and produce BRDs, dependency matrix and required documentation.
- Establish architecture standards, perform RCA on data and platform issues, close lineage / KPI gaps, and drive structural fixes.
- Mentor engineers / BI analysts and Finance users on copilots and promoting best practices.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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Job Posting Title: Sr Data Engineer
At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.
Job Overview
- Build declarative pipelines (Databricks Lakeflow / DLT) on Medallion Architecture (Bronze → Silver → Gold), delivering governed, audit-ready data products with Unity Catalog lineage, access controls, and CI/CD (Asset Bundles, GitHub Actions).
- Able to decode SAP ABAP programs (Z-reports, Transaction codes) into modern Databricks pipelines and orchestrate pipelines via Databricks Workflows.
- Build production grade, reliable ETL/ELT processes using Python / PySpark transformations notebooks in Databricks / DBT Tool to transform, validate and publish data from multiple sources or bronze layers.
- Design optimized, scalable and well documented Gold Layers and semantic models (Direct Lake, star-schema, RLS, incremental refresh) for high-performance finance reporting in Microsoft Fabric / Sigma Computing / Databricks.
- Build AI Integrated Insights on curated Gold-layer finance datasets to enable natural-language analytics for Finance Users.
- Act as strategic consultants to senior finance stakeholders like elicit requirements, frame problems, build business cases, and produce BRDs, dependency matrix and required documentation.
- Establish architecture standards, perform RCA on data and platform issues, close lineage / KPI gaps, and drive structural fixes.
- Mentor engineers / BI analysts and Finance users on copilots and promoting best practices.
What your background should look like:
- Build declarative pipelines (Databricks Lakeflow / DLT) on Medallion Architecture (Bronze → Silver → Gold), delivering governed, audit-ready data products with Unity Catalog lineage, access controls, and CI/CD (Asset Bundles, GitHub Actions).
- Able to decode SAP ABAP programs (Z-reports, Transaction codes) into modern Databricks pipelines and orchestrate pipelines via Databricks Workflows.
- Build production grade, reliable ETL/ELT processes using Python / PySpark transformations notebooks in Databricks / DBT Tool to transform, validate and publish data from multiple sources or bronze layers.
- Design optimized, scalable and well documented Gold Layers and semantic models (Direct Lake, star-schema, RLS, incremental refresh) for high-performance finance reporting in Microsoft Fabric / Sigma Computing / Databricks.
- Build AI Integrated Insights on curated Gold-layer finance datasets to enable natural-language analytics for Finance Users.
- Act as strategic consultants to senior finance stakeholders like elicit requirements, frame problems, build business cases, and produce BRDs, dependency matrix and required documentation.
- Establish architecture standards, perform RCA on data and platform issues, close lineage / KPI gaps, and drive structural fixes.
- Mentor engineers / BI analysts and Finance users on copilots and promoting best practices.
ABOUT TE CONNECTIVITY
TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more.
Our more than 90,000 employees, including 10,000 engineers, work alongside customers in approximately 130 countries. In a world that is racing ahead, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn, Facebook, WeChat, Instagram and X (formerly Twitter).
WHAT TE CONNECTIVITY OFFERS:
We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority!
- Unlimited contract opportunity
- Pleasant working environment fostering teamwork
- Open and dynamic company culture
- Extensive training initiatives and growth opportunities
- Competitive salary package
- Comprehensive benefits including Group insurance, Hospitalization insurance, Meal vouchers etc.
- Convenient location at E40 and E403 motorway intersection
- Join a certified "TOP EMPLOYER" in a modern "FACTORY OF THE FUTURE"
IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD
TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.
Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.
Job Locations:
Doraisanipalya, J.P Nagar, 4th Phase, Bannerghatta Road
Bangalore, Karnātaka 560076
India
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