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Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance

At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions.

This role requires strong Snowflake, data engineering, ETL, analytics, AI, and Cortex expertise. The successful candidate will design and build scalable data pipelines, database objects, and governed data products while helping transition legacy data solutions to a up-to-date Snowflake-based architecture.

Key Responsibilities:
- Lead data engineering activities for the migration of GBS systems into Snowflake.
- Support remediation and decommissioning of existing GBS eHANA solutions in UDP.
- Assess current-state data flows, database objects, dependencies, data quality issues,



and reporting impacts.
- Design, build, and optimize ETL/ELT pipelines to migrate and transform data into Snowflake.
- Develop Snowflake objects including tables, views, stored procedures, streams, tasks, stages, and functions.
- Build curated datasets and reusable data products for reporting, analytics, automation, and AI use cases.
- Use Snowflake Cortex to enable AI capabilities such as summarization, classification, semantic search, embeddings, and natural language analysis.
- Implement validation, reconciliation, lineage, documentation, and data quality controls throughout migration.
- Partner with GBS, analytics, data science, architecture, and platform teams to define requirements and deliver trusted solutions.
- Optimize Snowflake workloads for performance, cost, scalability, and reliability.
- Support secure and governed access using roles, policies, masking, tagging, and access controls

📌 Principal Developer, Data Analytics (India)
🏢 BOSTON SCIENTIFIC
📍 India