Lead Data Engineer (Databricks)

0 years

0 Lacs

Posted:6 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About the Role

Data Engineer


Key Responsibilities

  • Design, build, and optimize scalable data pipelines and ETL processes using

    Databricks

    and

    PySpark

    .
  • Implement and manage

    Unity Catalog

    for data governance, lineage, and access control.
  • Develop and maintain

    infrastructure as code

    using

    Terraform

    for GCP services.
  • Create and manage

    CI/CD pipelines

    for data engineering workflows.
  • Work with

    GCP Services

    such as

    Cloud Build, BigQuery, Firestore

    , and other related tools.
  • Ensure high data quality, security, and availability across all data platforms.
  • Collaborate with cross-functional teams including data scientists, analysts, and DevOps engineers.
  • Troubleshoot data-related issues and optimize performance.


Required Skills

  • Databricks

    – Expert hands-on experience
  • Unity Catalog

    – Strong understanding and implementation knowledge
  • PySpark

    – Advanced coding and optimization skills
  • SQL

    – Proficient in writing complex queries and performance tuning
  • Terraform

    – Experience in automating infrastructure deployments
  • CI/CD

    – Proficient in setting up automated build and deployment pipelines
  • GCP Services

    – Hands-on experience with

    Cloud Build, BigQuery, Firestore

    , etc.


Good to Have

  • Knowledge of Git and Agile methodologies

Mock Interview

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