We use cookies to offer you the best possible website experience. Your cookie preferences will be stored in your browser's local storage. This includes cookies necessary for the website's operation. Additionally, you can freely decide and change any time whether you accept cookies or choose to opt out of cookies to improve website's performance, as well as cookies used to display content tailored to your interests. Your experience of the site and the services we are able to offer may be impacted if you do not accept all cookies. Modify Cookie Preferences
Accept All Cookies
Search Jobs
Search Jobs
Apply now
Start
Please wait...
Job Title: DATA ENGINEER II
Posting Start Date: 12/24/25
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
We are seeking a hands-on Data Engineer with 3-5 years of experience to build and support modern Supply Chain data products using Databricks, SQL/Python, and SAP data. The role will focus on data pipelines, analytics, and reporting across Purchasing, Inventory, Production Planning, and Logistics.
Responsibilities:
Work closely with the Data Engineering Manager to understand requirements and deliver assigned backlog items.
Build and maintain ELT pipelines and data models in Databricks using Delta Lake and dbt.
Ingest and harmonize SAP data (MM, IM, PP, LE) for analytics and reporting use cases.
Develop KPI datasets and dashboards related to supplier performance, inventory health, production schedules, and logistics visibility.
Perform data analysis to support Supply Chain decision-making.
Prepare ML-ready datasets and support Data Science teams with feature creation.
Support basic AI/ML and Agentic AI initiatives (data preparation, monitoring, automation support).
Ensure data quality checks, documentation, and adherence to data governance standards.
Candidate Desired Profile:
Qualifications
Bachelor's degree in Computer Science, Data Engineering, Analytics, or related field.
3-5 years of experience in Data Engineering or Analytics roles.
Strong hands-on experience with Databricks, SQL, Python.
Experience working with SAP data (MM, IM, PP, Logistics).
Experience with Power BI or Tableau.
Preferred
Exposure to MLflow, feature stores, or ML pipelines.
Basic understanding of AI/ML or GenAI concepts.
Agile/Scrum working experience.
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.
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 and on , , and
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!
MNCJobsIndia.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.