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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…