Data Engineer

• Translate legacy T-SQL logic into modular, scalable DBT models powered by Spark SQL
• Build reusable and performant data transformation pipelines
• Develop testing frameworks to ensure data accuracy and integrity in DBT workflows
• Design and orchestrate workflows using Argo Workflows and CI/CD pipelines with Argo CD
• Manage mock data and reference datasets (e.g., ICD-10, CPT), ensuring version control and governance
• Implement efficient storage/query strategies using Apache Hudi, Parquet, and Iceberg
• Integrate ElasticSearch for analytics by building APIs and pipelines to support indexing and querying
• Collaborate with DevOps teams to optimize S3 usage, enforce data security, and ensure compliance
• Work in Agile squads and participate in planning, estimation, and sprint reviews

Senior Data Engineer – DBT, Spark, Argo

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