- Design, build, and maintain scalable data pipelines and curated data assets on Databricks.
- Develop reliable ETL/ELT processes to ingest, transform, validate, and publish data from multiple sources using advanced SQL, Python,PySpark & Dbt.
- Leverage Databricks notebooks, Unity Catalog, job scheduling, and performance optimization tools to ensure productive and reliable data delivery.
- Create reusable, maintainable, and well-documented pipelines aligned with enterprise data engineering standards.
- Monitor, troubleshoot, and optimize pipeline performance, reliability, and availability of BI-ready datasets.
- Build trusted, reusable datasets, data marts, reporting tables, and views for Power BI, Sigma Computing, and other analytics platforms.

What your background should look like:

- Strong practical experience in data engineering, BI enablement, and analytics delivery.
- Hands-on experience with Databricks data engineering and scalable pipeline development is must.
- Strong proficiency in SQL, Python, and PySpark is must.
- Experience with ETL/ELT design and development across multiple data sources.
- Strong understanding of data modeling, fact and dimension structures,



star schemas, and semantic layers.
- Experience building BI-ready datasets, data marts, reporting tables, and reusable data products.
- Solid knowledge of data quality, validation, reconciliation, monitoring, and troubleshooting.

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

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.

Job Locations:

Doraisanipalya, J.P Nagar, 4th Phase, Bannerghatta Road
Bangalore, Karnātaka 560076
India

Posting City: Bangalore

Job Country: India

Travel Required: Less than 10%

Requisition ID: 156894

Workplace Type: Hybrid

External Careers Page: Information Technology

📌 SENIOR DATA ENGINEER (India)
🏢 TE Connectivity
📍 India