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Mid-level data engineer role with popular skillset, metro hiring, and known consultancy brand increases competition.
Healthcare/Life Sciences domain requirements and claims/regulatory knowledge make cross-industry transferability limited.
Mandatory IICS and Snowflake expertise plus explicit years and HLS domain knowledge enforces strict filters.
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Design, develop, and optimize scalable ETL/ELT data pipelines and models with a focus on Informatica IICS and Snowflake.
Work primarily with Healthcare & Life Sciences data (claims, patient, CRM, commercial sales, specialty pharmacy) ensuring data quality and compliance.
Collaborate with stakeholders for requirements, support production deployments, and implement CI/CD and performance tuning.
4–8+ years of professional Data Engineering experience.
Strong expertise in Informatica Intelligent Cloud Services (IICS) and Snowflake.
Experience in Healthcare or Life Sciences domain with understanding of claims data, specialty pharmacy, CRM, and compliance.
Advanced SQL skills including performance tuning and data modeling; familiarity with cloud platforms (AWS/Azure).
Experienced Data Engineer specialized in ETL pipelines on cloud-native platforms (IICS, Snowflake).
Domain knowledge in Healthcare/Life Sciences with hands-on experience handling complex datasets like claims and patient data.
Proven ability to optimize large-scale data systems and work closely with business stakeholders in regulated environments.