Senior Analytics Engineer - Data Domain Material Supply
Siemens AG (company site, opens in a new tab)7+ yrsBengaluruOn-siteDirect career pageEst. 20–32 LPA
Posted 18h ago
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Job description
Structured overview of role & requirements
About This Role
- Design and model supply chain data products in Snowflake using dimensional modeling to create reliable, consumer-grade analytics datasets.
- Build, optimize, and maintain scalable DBT data transformation pipelines including advanced testing, documentation, and version control.
- Implement production-grade DataOps including CI/CD, automated data quality testing, monitoring, and act as a consultant for federated supply chain data teams.
Minimum Requirements
- University degree in IT, Computer Science, Engineering, Economics, or related quantitative field.
- 7+ years of professional experience in data engineering and cloud-based data warehousing with focus on analytics engineering.
- Expert-level SQL and deep hands-on experience with DBT including macros, packages, and custom materializations.
- Experience working with Snowflake including performance tuning, cluster management, zero-copy cloning, and secure data sharing.
- Work Location: Pune or Bangalore, India.
Ideal Candidate Profile
- Strong domain knowledge in material supply, procurement, logistics, or supply chain data analytics preferred.
- Proven ability to implement modern DataOps practices such as Git-based version control, CI/CD pipelines, containerization, and automated testing.
- Experience collaborating with cross-functional stakeholders to translate supply chain operational requirements into data solutions and acting as a technical advisor.