Junior Data Engineering Analyst
Chennai, India
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingYou will build and maintain data pipelines, models, and internal tooling that power operational and analytical decision-making across these domains.
From the employer’s posting
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
What you’ll bring
All qualificationsCore experience
- 1+ years hands-on experience with SQL (complex queries, window functions, CTEs)
- Experience with Snowflake features — stages, streams, tasks, dynamic tables, Snowpark
- Familiarity with orchestration tools (Airflow, dbt, or Snowflake Tasks)
- 1–2 years of professional experience in data engineering, analytics engineering, or a related data role
- Familiarity with at least one cloud data warehouse
- Understanding of data governance and access control patterns
Preferred experience
- Snowflake preferred; BigQuery, Redshift, or Databricks acceptable
Qualification wording
1+ years hands-on experience with SQL (complex queries, window functions, CTEs)
Experience with Snowflake features — stages, streams, tasks, dynamic tables, Snowpark
Familiarity with orchestration tools (Airflow, dbt, or Snowflake Tasks)
1–2 years of professional experience in data engineering, analytics engineering, or a related data role
Familiarity with at least one cloud data warehouse (Snowflake preferred; BigQuery, Redshift, or Databricks acceptable)
Understanding of data governance and access control patterns
Tools in this posting
- Python
- SQL
- BigQuery
- Databricks
- dbt
- Redshift
- Snowflake
- Airflow
- pandas
- Streamlit
Source — Tool mentions in context
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
- 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)
- 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)
- 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
Required Skills - 1+ years hands-on experience with SQL (complex queries, window functions, CTEs) - Working knowledge of Python (data manipulation with pandas or similar)
- 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
- 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)
- 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
Preferred / Nice-to-Have - Experience with Snowflake features — stages, streams, tasks, dynamic tables, Snowpark - Exposure to Streamlit or similar Python-based app frameworks
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)
Job description
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 or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.
Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!
We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.
All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at +1-510-713-4866 for assistance and we will get back to you as soon as possible.
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Chennai, India
- 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 or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house. Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Oct 8, 2026
- Recorded sightings
- 2
- Last seen by us
- Oct 9, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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