Junior Data Engineering Analyst
logitech · Chennai, India · Hybrid
Posted Oct 8, 2026
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Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.
About the Role We are looking for a Junior Data Engineer to join the Data Engineering team supporting Logitech's global supply chain functions — planning, logistics, sourcing, manufacturing, procurement, and customer service. You will build and maintain data pipelines, models, and internal tooling that power operational and analytical decision-making across these domains. Responsibilities
Design, develop, and maintain ELT/ETL pipelines on Snowflake using SQL, Snowpark (Python), and related tooling
Build and optimize data models in the enterprise data warehouse (EDW) supporting supply chain reporting and analytics
Develop and support Streamlit-in-Snowflake applications for internal business teams
Write clean, well-tested SQL for data transformations, aggregations, and quality checks
Collaborate with supply chain analysts and business users to understand data requirements and translate them into technical solutions
Monitor pipeline health, troubleshoot data quality issues, and implement automated alerting
Participate in code reviews, documentation, and knowledge sharing within the team
Required Skills
1+ years hands-on experience with SQL (complex queries, window functions, CTEs)
Working knowledge of Python (data manipulation with pandas or similar)
Familiarity with at least one cloud data warehouse (Snowflake preferred; BigQuery, Redshift, or Databricks acceptable)
Understanding of data warehousing concepts — star/snowflake schemas, slowly changing dimensions, incremental loads
Basic understanding of version control (Git)
Strong problem-solving skills and attention to data accuracy
Preferred / Nice-to-Have
Experience with Snowflake features — stages, streams, tasks, dynamic tables, Snowpark
Exposure to Streamlit or similar Python-based app frameworks
Familiarity with orchestration tools (Airflow, dbt, or Snowflake Tasks)
Domain exposure to supply chain processes (order management, logistics, serialization, inventory)
Understanding of data governance and access control patterns
What You'll Learn & Grow Into
Deep expertise in Snowflake's modern data platform (Snowpark, Cortex AI functions, native apps)
Supply chain domain knowledge (planning, logistics, manufacturing, procurement)
End-to-end ownership of data products — from ingestion to self-service applications
Collaboration with global cross-functional teams
Qualifications
B.E./B.Tech in Computer Science, Information Technology, or related field
1–2 years of professional experience in data engineering, analytics engineering, or a related data role
Strong communication skills — ability to work with both technical peers and non-technical stakeholders
Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity…