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Strong brand, metro location, and common mid-senior data engineering skillset increase applicant competition.
Core ETL, Snowflake, and cloud skills are transferable, though healthcare domain knowledge adds moderate bias.
Multiple explicit years and tool-specific requirements drive strict candidate filtering.
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Own the full lifecycle of data integration pipelines, transforming disparate healthcare data into structured, reliable assets in Snowflake.
Design, develop, test, and optimize scalable ETL processes using AWS Glue, Fivetran, Snowpipes, and other tools for data ingestion and transformation.
Ensure data quality, monitor, troubleshoot, and document ETL workflows while collaborating with data modelers and source system owners.
6+ years of experience as an ETL Developer or Engineer.
4+ years hands-on experience with major ETL tools such as AWS Glue, Informatica, DataStage, or Fivetran.
4+ years of advanced SQL experience writing complex queries and procedures.
1+ years working with Snowflake, including Snowpipe and COPY command.
Work location: Bangalore (Hybrid).
Experienced in building and maintaining large-scale, cloud-native ETL pipelines in healthcare or data warehousing environments.
Strong technical expertise in SQL, scripting (Python/Perl/Shell), and enterprise ETL tools aligning with data architecture and quality standards.
Ability to independently manage complex ETL projects with a focus on performance tuning and troubleshooting.