Senior Databricks Engineer

6 - 11 years

4 - 7 Lacs

Posted:4 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Who Were Looking For

We are looking for a skilled and experienced

Data Engineer with deep expertise in the Databricks ecosystem

to join our data engineering team. You will be responsible for building, optimizing, and maintaining scalable data pipelines on Databricks, leveraging Delta Lake, PySpark, and cloud-native services (AWS, Azure, or GCP). You will collaborate with data scientists, analysts, and business stakeholders to ensure clean, high-quality, and governed data is available for analytics and machine learning use cases.
  • 6+ years of experience as a Data Engineer, with at least 4 years hands-on with

    Databricks

    in production environments
  • Proficient in

    PySpark

    and SQL for large-scale data processing
  • Deep understanding of

    Delta Lake features

    : ACID transactions, schema enforcement, time travel, and vacuuming
  • Experience working with cloud platforms:

    AWS (Glue, S3)

    ,

    Azure (Data Lake, ADF)

    , or

    GCP (BigQuery, GCS)

  • Hands-on experience with

    Databricks Auto Loader

    , Structured Streaming, and job scheduling
  • Familiarity with

    Unity Catalog

    for multi-workspace governance and fine-grained data access
  • Experience integrating with

    orchestration tools

    (Airflow, ADF) and using infrastructure-as-code for deployment
  • Comfortable with version control and automation using Git, Databricks Repos, dbx, or Terraform
  • Experience with performance tuning, Z-Ordering, caching strategies, and partitioning best practices

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