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hackajob is seeking a data engineer to build and maintain scalable data solutions on Databricks and AWS in Jersey City. You will design robust ingestion pipelines, enforce data governance, and optimize Spark workloads for performance and cost.
The role focuses on data engineering within a modern Lakehouse architecture, leveraging Delta Lake, Unity Catalog, and CI/CD practices to deliver reliable analytics platforms.
The role involves building and maintaining scalable data collection, storage, and analytics solutions using Databricks and AWS. Key duties include implementing resilient ingestion pipelines, ensuring data governance, and optimizing Spark workloads for performance and cost.
Candidates need 3+ years of SDLC experience with a strong focus on data engineering and the Databricks Lakehouse on AWS. Proficiency in Spark, Delta Lake, and AWS fundamentals, along with experience using AI-assisted coding tools, is required.