DATA ENGINEER I
TE Connectivity (company site, opens in a new tab)0–3 yrsBengaluruOn-siteDirect career pageEst. 5–12 LPA
Posted on 7 Sept
Reach people at TE Connectivity
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at TE Connectivity you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Support design, development, testing, and maintenance of data pipelines and curated datasets on Databricks for the Channel Business Unit.
- Build and maintain reusable datasets and reporting tables for BI tools like Power BI and Tableau to enable faster and reliable business intelligence delivery.
- Perform data modeling, validation, quality checks, and support data governance and documentation standards with cross-functional teams.
Minimum Requirements
- Bachelor’s degree in Computer Science, Data Engineering, Data Science, Information Systems, Mathematics, Statistics, Business Analytics, or related field.
- 0-3 years of experience in Data Engineering, BI, Analytics, Data Warehousing, or Software Development.
- Strong knowledge of SQL and basic experience with Python for data processing and automation.
- Working knowledge of Git and version control; exposure to Databricks, AWS, or cloud data warehouses through work, projects, certifications or internships.
Ideal Candidate Profile
- Early-career professional with practical experience or internships involving SQL, Python, Databricks, AWS, Redshift, or BI tools like Power BI and Tableau.
- Ability to work collaboratively with BI analysts, product owners, and governance teams focused on building validated and trusted data products.
- Interested in developing technical skills in modern cloud data platforms and following engineering best practices including version control and code reviews.