Logitech

Junior Data Engineering Analyst

About this role

This role sits in the Data Engineering team that supports Logitech's global supply chain functions such as planning, logistics, sourcing, manufacturing and procurement. The person builds and maintains data pipelines, data models and internal tools used for operational and analytical decisions. Day to day work centres on SQL and Python on Snowflake, plus Streamlit apps for business teams. The role is based in Chennai. It suits early-career data engineers with a year or two of hands-on experience.

Logitech is hiring for Junior Data Engineering Analyst, a full-time role based in Chennai.

Who can apply: 1–2 years. Skills: SQL, Python, Snowflake, Snowpark, Git.

Hirastra checked that this opening is live. Apply directly through the official posting; applying is always free.

What you'll do

  • Build and maintain ELT/ETL pipelines on Snowflake using SQL and Snowpark (Python)
  • Build and optimise data models in the enterprise data warehouse for supply chain reporting
  • Develop and support Streamlit-in-Snowflake apps for internal teams
  • Write tested SQL for transformations, aggregations and quality checks
  • Monitor pipeline health, fix data quality issues and set up automated alerts
  • Work with supply chain analysts and business users to turn data needs into solutions

What you need

  • B.E./B.Tech in Computer Science, IT or a related field
  • 1–2 years of professional experience in data engineering, analytics engineering or a related data role
  • 1+ years of hands-on SQL, including complex queries, window functions and CTEs
  • Working knowledge of Python (pandas or similar)
  • Familiarity with a cloud data warehouse (Snowflake preferred) and data warehousing concepts
  • Basic Git knowledge and strong communication skills
Location
Chennai
Work mode
See listing
Experience
1–2 years
Pay
₹8–14 LPA (Est.)
Type
Full-time job, Developer
Added
8 October 2026

Skills

  • SQL
  • Python
  • Snowflake
  • Snowpark
  • Git

"Est." = Hirastra's estimate based on market data, not an official figure.

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