Data Engineer - Cloud ETL, Azure, Data Bricks, Snowflake, PySpark
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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable ETL/ELT pipelines using Databricks, Snowflake, Python, and Teradata to support enterprise reporting, analytics, and AI/ML initiatives.
Develop and support workflow orchestration using Airflow and implement CI/CD practices with GitHub, including production deployment and operational monitoring.
Ensure compliance with data governance, security, and healthcare regulations, collaborating with business and technical teams to gather requirements and deliver data solutions.
Minimum Requirements
Bachelor's degree in Computer Science, Information Systems, or related field.
4+ years of experience in Data Engineering, Data Warehousing, or ETL development.
Strong hands-on experience with Databricks, Snowflake, Teradata, Python, and UNIX; experience with Airflow and GitHub/GitHub Copilot.
Work Experience Required: 4+ years in relevant data engineering fields. Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in building data engineering solutions supporting AI/ML workloads and enterprise-scale analytics.
Demonstrated ability to implement automation and operational monitoring in production environments using CI/CD and orchestration tools.
Preferably has knowledge or experience in the healthcare domain involving Customer, Member, and Provider data.