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Metro location, generalist data role, and broad skillset increase applicant competition.
Core data engineering skills are transferable, though healthcare governance adds some industry specificity.
Explicit 7+ years and mandatory Snowflake, SQL, Python, and ETL tools make filters strict.
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Design, develop, and optimize scalable SQL and Python data pipelines and models within Snowflake and cloud environments.
Implement ETL/ELT processes and automation workflows using tools like Airflow/Dagster and maintain CI/CD practices with version control.
Collaborate in Agile teams with architects, analysts, and business stakeholders to deliver secure, high-quality data solutions powering analytics and operational workflows.
7+ years experience designing and developing SQL-based pipelines and data models.
Proficiency in SQL, Snowflake, Python for ETL/ELT, and experience with orchestration tools like Airflow or Dagster.
Experience with cloud platforms (AWS or Azure) and CI/CD tools (GitHub, GitLab, or Azure DevOps).
Work Location: Bangalore with hybrid work mode (3 days in office), Shift: 11:00 AM - 8:00 PM.
Experienced working in Agile, cross-functional teams serving US and European stakeholders, capable of leading technical discussions.
Strong ability to support data governance, data security, and maintain pipeline performance and documentation.
Comfortable managing multiple technology stacks and integrating various data ingestion methods including APIs, structured and semi-structured data.