Senior Data Engineer - Supply Chain & Analytics Platforms
Intuitive Surgical, Inc. (company site, opens in a new tab)10+ yrsBengaluruHybridDirect career pageEst. 30–50 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and optimize scalable data pipelines and enterprise data products to support supply chain, manufacturing, and operational decision-making.
- Develop and maintain data solutions using Snowflake, dbt, Airflow, Python, SQL, ensuring data quality, reliability, and governance.
- Partner with business stakeholders and analytics teams to enable trusted, self-service access to data and accelerate insight generation through scalable automation.
Minimum Requirements
- 10+ years overall IT experience with at least 5+ years hands-on data engineering experience.
- Strong expertise in SQL, Python, Snowflake, dbt, Apache Airflow, Spark/PySpark, and cloud-based data pipeline orchestration.
- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, Data Science, or related technical field.
- Experience in supporting Supply Chain, Manufacturing, Logistics, Operations, or Planning domains.
Ideal Candidate Profile
- Experienced working with large-scale ETL/ELT architectures and implementing data quality, monitoring, and observability solutions in cloud environments.
- Skilled in data modeling (relational and dimensional), DataOps, CI/CD, Git workflows, and software engineering best practices.
- Ability to collaborate effectively with diverse stakeholders including Supply Chain, Operations, Data Science, and Analytics teams to deliver governed, self-service data platforms.