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Mid-level data engineer in Bangalore with common ETL skillset and moderate brand recognition increases competition.
Core ETL, SQL, and Snowflake skills are broadly transferable across industries despite healthcare context.
Multiple explicit years requirements and mandatory ETL, SQL, and Snowflake skills enforce strict shortlisting.
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Own the full lifecycle development and maintenance of scalable ETL pipelines using AWS Glue, FiveTran, Snowpipe, and related tools to consolidate disparate healthcare data into Snowflake data warehouse.
Implement complex data transformations and business logic, ensure data quality, and optimize performance and reliability of ETL processes.
Collaborate with data architects and source system owners to align ETL workflows with data models and support clinical analytics initiatives.
At least 6 years of experience as an ETL Developer or Engineer.
Minimum 4 years working with enterprise ETL tools such as AWS Glue, Informatica, or Fivetran.
Minimum 4 years writing complex SQL for data-intensive applications, including performance tuning of ETL jobs.
At least 1 year experience with Snowflake data warehouse and its data loading features (e.g., Snowpipe).
Experienced in building and managing end-to-end cloud-native ETL pipelines in healthcare or related data-intensive domains.
Strong technical proficiency in SQL, Python or scripting languages, and modern data integration tools, with problem-solving focus on pipeline reliability and scalability.
Comfortable working independently managing multiple ETL projects and collaborating cross-functionally with data architects and source system teams.