Senior Data Engineer
Bangalore, KA, IN, 560076
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingBuild declarative pipelines (Lakeflow/DLT) on Bronze-Silver-Gold medallion architecture
Decode SAP ABAP programs into Databricks pipelines and orchestrate them via Workflows
Build production ETL/ELT processes in PySpark and dbt to validate and publish data
Design star-schema Gold layers and semantic models for high-performance finance reporting
Gather requirements and write BRDs with senior finance stakeholders
From the employer’s posting
Build declarative pipelines (Databricks Lakeflow / DLT) on Medallion Architecture (Bronze → Silver → Gold)
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
Design optimized, scalable and well documented Gold Layers and semantic models (Direct Lake, star-schema, RLS, incremental refresh) for high-performance finance reporting
Act as strategic consultants to senior finance stakeholders like elicit requirements, frame problems, build business cases, and produce BRDs
Tools in this posting
- Python
- Databricks
- dbt
- SAP
- Sigma
- PySpark
Source — Tool mentions in context
- 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.
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 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.
- 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.
- 6-8 years of experience in Data engineering. - 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.
About TE Connectivity
TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 15, 2026 · 40 days ago
- Recorded sightings
- 417
- Last seen by us
- Oct 25, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on careers.te.com. The employer’s form will show what is required.
Already applied? Track this application
Job description
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:
- 6-8 years of experience in Data engineering.
- 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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bangalore, KA, IN, 560076
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.