Databricks Engineer

6 - 7 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Remote

Job Type

Full Time

Job Description

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About the Role:

Databricks Engineer


Key Responsibilities

  • Design, develop, and maintain

    data pipelines

    and ETL processes on

    Databricks

    .
  • Lead the architecture and implementation of

    scalable, secure, and high-performance

    data solutions.
  • Collaborate with business stakeholders, data scientists, and analysts to gather requirements and deliver actionable data solutions.
  • Optimize data workflows for

    performance, cost-efficiency, and reliability

    .
  • Integrate data from multiple structured and unstructured sources into

    Delta Lake

    and cloud data warehouses.
  • Implement

    best practices

    in data governance, security, and quality management.
  • Mentor junior engineers and provide

    technical leadership

    in data engineering best practices.
  • Troubleshoot and resolve issues in data pipelines, ensuring

    high data availability and integrity

    .
  • Required Skills & Experience

    • 6-7 years

      of experience in

      Data Engineering

      .
    • Proven

      Subject Matter Expertise

      in

      Databricks

      (including Databricks SQL, Delta Lake, and MLflow).
    • Strong experience with

      PySpark

      ,

      Spark SQL

      , and

      Scala

      .
    • Hands-on experience with

      cloud platforms

      (Azure preferred; AWS/GCP a plus).
    • Proficiency in

      data modeling, ETL development

      , and

      data warehousing

      concepts.
    • Solid understanding of

      big data ecosystems

      (Hadoop, Kafka, etc.).
    • Strong SQL development skills with a focus on

      performance tuning

      .
    • Experience in implementing

      CI/CD pipelines

      for data solutions.

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