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Metro Bangalore location, common Data Engineer title, and recognizable legacy brand increase applicant competition.
Core data engineering skills transfer widely, but healthcare domain and Snowflake/ETL specifics moderately limit fit.
Explicit 6+ years requirement plus mandatory ETL, Snowflake, and SQL/tool experience implies strict filtering.
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Own the full lifecycle of data integration, transforming raw healthcare data into structured assets within Snowflake data warehouse.
Design, develop, and optimize scalable ETL pipelines using AWS Glue, Fivetran, Snowpipe, and other cloud-native tools to enable analytics and clinical insights.
Maintain and troubleshoot data pipelines, ensure data quality and accuracy, and collaborate with data architects and source system owners for alignment and seamless extraction.
6+ years of experience as an ETL Developer or Engineer.
4+ years of experience with major ETL tools such as AWS Glue, Informatica, DataStage, or Fivetran.
4+ years of experience writing complex SQL queries for data-intensive applications.
1+ year of experience with Snowflake, including data loading features like Snowpipe and COPY command.
Proven ability to independently manage multiple ETL projects and troubleshoot complex data pipeline issues in enterprise healthcare environments.
Strong expertise in designing and optimizing high-performance ETL workflows with proficiency in SQL and scripting languages (Python, Perl, Shell).
Experience collaborating closely with data modelers, architects, and source owners to align ETL processes with data models and business requirements in cloud-native architectures.