Senior Data Engineer - Supply Chain & Analytics Platforms
Intuitive Surgical, Inc. (company site, opens in a new tab)10+ yrsBengaluruOn-siteDirect 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 models, implement automated data quality frameworks, and optimize cloud data platforms (Snowflake) for performance and cost efficiency.
- Collaborate with business stakeholders and analytics teams to deliver trusted, self-service analytics solutions and provide technical leadership including mentoring and platform modernization.
Minimum Requirements
- 10+ years IT experience with at least 5 years hands-on Data Engineering.
- Expert-level SQL skills, strong Python programming, and experience with Snowflake, dbt, Apache Airflow, Spark/PySpark, and ELT architectures.
- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, Data Science, or related technical field.
- Experience supporting Supply Chain, Manufacturing, Logistics, Operations, or Planning domains.
Ideal Candidate Profile
- Proven ability to lead technical design and implementation of large-scale, cloud-native data engineering solutions in supply chain or operational contexts.
- Experience working in cross-functional teams with business stakeholders and analytics professionals to deliver enterprise-scale data products and self-service platforms.
- Strong focus on data quality, automation, CI/CD, and operational support in a hybrid work model aligned with EST morning overlap.