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Sr Data Engineer- Databricks

0 - 8 years

0 Lacs

Bengaluru, Karnataka

Posted:5 days ago| Platform: Indeed logo

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Skills Required

data databricks design apache security unity governance kafka ml ai devops automate github jenkins query support strategy engineering pyspark sql automation aws azure gcp debugging communication collaboration

Work Mode

Remote

Job Type

Full Time

Job Description

Job Information

    Number of Positions

    2

    Date Opened

    07/13/2025

    Job Type

    Full time

    Industry

    IT Services

    Work Experience

    5-8 years

    Last Activity Time

    07/13/2025 13:28

    City

    Bangalore

    State/Province

    Karnataka

    Country

    India

    Zip/Postal Code

    560002
Exp- 5+ yrs


Location- Remote (Preferred candidates to be in bangalore)


Notice- Looking candidates with to be joining within 30 Days

Key Responsibilities:

Design, implement, and optimize scalable data pipelines using Databricks and Apache Spark.
    • Architect data lakes using Delta Lake, ensuring reliable and efficient data storage.
    • Manage metadata, security, and lineage through Unity Catalog for governance and compliance.
    • Ingest and process streaming data using Apache Kafka and real-time frameworks.
    • Collaborate with ML engineers and data scientists on LLM-based AI/GenAI project pipelines.
    • Apply CI/CD and DevOps practices to automate data workflows and deployments (e.g., with GitHub Actions, Jenkins, Terraform).
    • Optimize query performance and data transformations using advanced SQL.
    • Implement and uphold data governance, quality, and access control policies.
    • Support production data pipelines and respond to issues and performance bottlenecks.
  • Contribute to architectural decisions around data strategy and platform scalability.


Requirements

Required Skills & Experience:

  • 5+ years of experience in data engineering roles.
  • Proven expertise in Databricks, Delta Lake, and Apache Spark (PySpark preferred).
  • Deep understanding of Unity Catalog for fine-grained data governance and lineage tracking.
  • Proficiency in SQL for large-scale data manipulation and analysis.
  • Hands-on experience with Kafka for real-time data streaming.
  • Solid understanding of CI/CD, infrastructure automation, and DevOps principles.
  • Experience contributing to or supporting Generative AI / LLM projects with structured or unstructured data.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and data services.
  • Strong problem-solving, debugging, and system design skills.
  • Excellent communication and collaboration abilities in cross-functional teams.

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