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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and operate scalable cloud-based data pipelines and processing for ELLKAY’s shared Data Platform and Data Lake.
Convert Data Platform architecture into production-ready ingestion, transformation, data-quality, and data-serving capabilities using AWS, Snowflake, Spark, SQL, Python.
Support healthcare data onboarding, develop reusable pipeline templates, implement monitoring, testing, and provide mentorship to junior engineers.
Minimum Requirements
Strong hands-on experience in data engineering and cloud data platforms.
Experience with production-grade ingestion and transformation pipelines using AWS, Snowflake, Spark or equivalent.
Strong SQL and Python skills.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in building batch, streaming, incremental data pipelines and handling complex or regulated datasets.
Comfortable implementing data quality, reconciliation, metadata, monitoring, and CI/CD processes.
Able to mentor others and collaborate with architects, product teams, and senior engineers in a healthcare data environment.