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
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 efficient 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.
Robust proficiency in SQL, Python, and PySpark is must.
Experience with ETL/ELT design and development across multiple data sources.
Solid 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.

📌 Senior Data Engineer Bengaluru (India)
🏢 TE Connectivity
📍 India