DATA ENGINEER I
TE Connectivity (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 6–10 LPA
Posted 18h ago
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Job description
Structured overview of role & requirements
About This Role
- Support design, development, testing, and operation of batch and near-real-time data pipelines for analytics, reporting, and AI/ML solutions.
- Write and maintain SQL and Python code to ingest, transform, validate, and automate data workflows with attention to data quality.
- Collaborate with data scientists, analysts, and business teams to understand data requirements and produce reusable ETL/ELT components and curated datasets.
Minimum Requirements
- Bachelor's degree in Artificial Intelligence & Machine Learning, Computer Science, Data Science, Information Technology, or related engineering discipline, graduating in 2026.
- Strong foundational skills in Python programming and SQL querying including data structures, joins, aggregations, and query performance basics.
- Exposure to at least one cloud platform (Azure, AWS, or GCP) via coursework, internship, certification, or projects.
- Work Experience Required: Entry-level role designed for fresh graduates (2026) with internship or project experience preferred.
Ideal Candidate Profile
- Demonstrated ability to develop end-to-end data pipelines or ML data preparation workflows via academic projects, internships, or portfolios.
- Basic knowledge of data engineering practices including ETL/ELT fundamentals, data quality checks, metadata, lineage, and security principles.
- Familiarity with version control (Git), software development lifecycle including unit testing and CI/CD, and distributed data processing/orchestration tools (e.g., Apache Spark, Airflow) is a plus.