Our client is seeking an Analytics Engineer responsible for the entire data engineering lifecycle, including research, proof of concepts, design, development, testing, deployment, and maintenance. Key responsibilities include:
Building automated, scalable, flexible, secure, and cross-domain data and analytic pipelines with supporting monitors, listeners, notifications, and process state reporting.
Supporting monthly and quarterly production activities.
Maintaining high-quality documentation of data definitions, transformations, and processes to ensure data governance and security.
Identifying solutions to non-standard requests and problems.
Collaborating with other departments to develop pipelines for data movement in and out of our domain.
Assisting with the development and automation of data processors.
Qualifications:
4+ years of experience in software engineering using Spark with Python and SQL.
4+ years of experience with cloud platforms (Azure/AWS/GCP), including Databricks, Snowflake, and/or Microsoft Fabric.
4+ years of experience in data engineering, including ETL and pipeline building.
1+ years of experience working with healthcare data.
Experience using data orchestration tools such as ADF, Airflow, DBT, etc.
Experience with CI/CD tools such as Jenkins, GitHub, Maven, etc.
Preferred Qualifications:
Experience with Azure/Databricks.
Healthcare industry experience.
Contact: kgregor@judge.com
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