Staff Data Engineer- Cloud Data Platform
ELLKAY, LLC (company site, opens in a new tab)RemoteDirect career pageEst. 28–45 LPA
Posted on 13 Sept
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Job description
Structured overview of role & requirements
About 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.