Senior Data Software Engineer with Databricks

EPAM Systems Inc

  • Atlanta, GA
  • 2 days ago

    Highlights

    The role focuses on building a Databricks Lakehouse on Azure, driving data ingestion, transformation, orchestration, and automation initiatives across the broader Azure data ecosystem. We are seeking a Senior Data Software Engineer with Databricks to lead the design, development, and maintenance of scalable data integration pipelines across cloud and enterprise systems.

    Numbers & Facts

    LocationAtlanta, GA

    Description

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    Senior Data Software Engineer with Databricks

    Remote in Georgia

    Data Software Engineering& 3 others

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    We are seeking a Senior Data Software Engineer with Databricks to lead the design, development, and maintenance of scalable data integration pipelines across cloud and enterprise systems. The role focuses on building a Databricks Lakehouse on Azure, driving data ingestion, transformation, orchestration, and automation initiatives across the broader Azure data ecosystem.

    Responsibilities

    • Lead the design and development of a Databricks Lakehouse on Azure

    • Research source systems, then analyze and document their data structures, data flows and business entities

    • Build batch and near-real-time ingestion pipelines with Databricks Auto Loader and Azure Event Hubs

    • Develop dbt transformations following the medallion architecture

    • Design and maintain an operational data store (ODS) on Databricks Lakebase

    • Implement integrations with Dataverse and the Power Platform

    • Define data engineering standards, code reviews and best practices

    • Ensure data quality, testing and documentation across the platform

    Requirements

    • 5+ years of data engineering experience, including a technical lead role

    • Expertise in Databricks, Delta Lake and Apache Spark (PySpark)

    • Skills in dbt and Databricks ingestion tools

    • Proficiency in Unity Catalog

    • Advanced SQL and strong Python skills

    • Solid data modeling skills, including dimensional modeling

    • Proven ability to analyze unfamiliar source systems and produce clear data documentation

    • Familiarity with the Azure data ecosystem: ADLS Gen2, Key Vault and Entra ID

    • Experience with Git and CI/CD for data pipelines

    • Flexibility to use AI tools

    • English proficiency at B2 level or higher

    Nice to have

    • Background in Databricks Lakebase or PostgreSQL

    • Understanding of data governance, Lakehouse and ODS concepts

    • Experience with Dataverse, Power Apps or Power Automate integration

    • Familiarity with Terraform or Databricks Asset Bundles

    • Databricks certifications

    • AI certifications

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