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Tier-1 brand, mid-level data scientist role in Bangalore with broad technical requirements increases competition.
Role requires domain-specific healthcare data, EHR/claims expertise and pharma context, limiting cross-industry transferability.
Explicit 4+ years plus mandatory Snowflake, AWS, Airflow, healthcare-data experience makes shortlisting highly strict.
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Design, build, and maintain ETL/ELT pipelines and data architectures using Snowflake, Redshift, AWS, Apache Airflow, ensuring reliability and cost efficiency.
Integrate and harmonize diverse healthcare datasets (EHR, claims, lab data), enforce data quality, lineage, and governance for analytics and AI model support.
Provide operational support including ticket management, incident response, and continuous improvement of data solutions and workflows.
BS/MS in quantitative field (Computer Science, Data Science, Engineering, Economics)
At least 4+ years of relevant data engineering or analytics engineering experience
Proficiency with Python, SQL, Snowflake, AWS (S3, Lambda), Redshift, Apache Spark, and Apache Airflow
Experience working with healthcare datasets (EHR, claims, lab) and knowledge of healthcare data models and standards
Experienced individual contributor skilled at building scalable, automated data pipelines for AI/ML model enablement in healthcare.
Strong background integrating and curating complex healthcare data supporting commercial and epidemiological analytics.
Capable of balancing operational responsibilities with advanced data science workflows in a regulated biopharma environment.