Azure Data Engineer

10 - 14 years

32 - 40 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Lead design and execution of

    Dataproc Databricks PySpark

    migration roadmap.
  • Define

    modernization strategy

    , including data ingestion, transformation, orchestration, and governance.
  • Architect scalable

    Delta Lake

    and

    Unity Catalog

    -based solutions.
  • Manage and guide teams on code conversion, dependency mapping, and data validation.
  • Collaborate with platform, infra, and DevOps teams to optimize compute costs and performance.
  • Own the

    automation & GenAI acceleration layer

    , integrating code parsers, lineage tools, and validation utilities.
  • Conduct performance benchmarking, cost optimization, and platform tuning (Photon, Auto-scaling, Delta Caching).
  • Mentor senior and mid-level developers, ensuring quality standards, documentation, and delivery timelines.

Technical Skills

  • Languages:

    Python, PySpark, SQL
  • Platforms:

    Databricks (Jobs, Workflows, Delta Live Tables, Unity Catalog), GCP Dataproc
  • Data Tools:

    Hadoop, Hive, Pig, Spark (RDD & DataFrame APIs), Delta Lake
  • Cloud & Integration:

    GCS, BigQuery, Pub/Sub, Cloud Composer, Airflow
  • Automation:

    GenAI-powered migration tools, custom Python utilities for code conversion
  • Version Control & DevOps:

    Git, Terraform, Jenkins, CI/CD pipelines
  • Other:

    Performance tuning, cost optimization, and lineage tracking with Unity Catalog

Preferred Experience

  • 10-14 years of data engineering experience with at least 3 years leading Databricks or Spark modernization programs.
  • Proven success in

    migration or replatforming projects

    from Hadoop or Dataproc to Databricks.
  • Exposure to

    AI/GenAI in code transformation or data engineering automation

    .
  • Strong stakeholder management and technical leadership skills.
EXPERIENCE
  • 11-12 Years

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