Job Description:
Data Engineer (Databricks) We are seeking a hands-on Data Engineer to join our data platform team and serve as the go-to expert for designing, building, and scaling modern data solutions.
Role Overview You will be responsible for building and scaling a cloud-based data platform, with a strong focus on Databricks, data pipelines, and secure architecture. This role combines engineering, platform design, and data governance, with an expectation of ownership from design through implementation. Key Responsibilities Design and implement scalable data pipelines for batch and streaming use cases Build and optimize Databricks-based data platform architecture Define and implement data models and Lakehouse design patterns Lead platform scalability, performance tuning, and cost optimization efforts Establish and enforce data security, access controls, and governance standards Support data ingestion, transformation, and consumption layers Enable downstream analytics, reporting, and AI-driven use cases Drive best practices for CI/CD, automation, and operational excellence Act as the technical SME for data engineering and platform design Required Skills Strong experience with Databricks, Spark, and Pie Spark Proven expertise in building data pipelines and distributed data processing systems Deep understanding of data lake / Lakehouse architectures Strong SQL and data modeling skills Experience working with cloud platforms (AWS or equivalent) Familiarity with data platform design, scalability, and performance optimization Nice to Have Experience with streaming data frameworks Exposure to AI/ML or data-driven applications Experience with data governance, lineage, and security frameworks Familiarity with CI/CD pipelines for data engineering What Success Looks Like Establishes a scalable and secure data platform foundation Becomes the go-to expert for data engineering and Databricks Enables faster delivery of data products, analytics, and AI capabilities Drives consistent best practices across pipelines, architecture, and governance.
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