Databricks Engineer

6 - 11 years

20 - 25 Lacs

Posted:1 day ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Databricks Engineer / Associate Manager / Manager Data Engineering

Experience:

Data Engineering professionals

Key Responsibilities

Databricks Engineer (6–9 Years)

  • Develop and maintain ETL/ELT pipelines using

    Databricks (PySpark / Spark SQL / Scala)

  • Work on

    Delta Lake

    (ACID, schema evolution, time travel, optimization)
  • Build workflows using

    Databricks Workflows, DLT, Unity Catalog

  • Optimize Spark jobs and Databricks clusters
  • Implement

    Medallion Architecture (Bronze, Silver, Gold)

  • Work with cloud storage (

    S3 / ADLS / GCS

    ) and security basics

Associate Manager – Data Engineering (8–10 Years)

  • All Engineer responsibilities plus
  • Lead small data engineering teams
  • Own end-to-end pipeline and solution design
  • Implement

    CI/CD & DevOps

    (Git, Azure DevOps, Terraform, Databricks CLI)
  • Ensure data security, governance, and best practices

Manager – Data Engineering (10–12 Years)

  • All Associate Manager responsibilities plus
  • Drive architecture decisions on Databricks platforms
  • Work closely with business and analytics teams
  • Lead multiple projects and mentor teams
  • Define data engineering standards and roadmap

Mandatory Skills (All Levels)

  • Databricks Platform

    (Notebooks, DLT, Workflows, Unity Catalog)
  • Apache Spark / PySpark / Spark SQL

  • Delta Lake

  • Python / Scala & SQL

  • Cloud Platforms:

    AWS / Azure / GCP
  • ETL / Data Pipelines & Medallion Architecture

  • Performance tuning & optimization

  • CI/CD & DevOps tools

  • Data Security & Governance

Good to Have

  • Databricks certifications (Associate / Professional)
  • Cloud certifications (AWS / Azure / GCP)
  • Leadership experience (for AM / Manager roles)

    Role & responsibilities

Preferred candidate profile

Mock Interview

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