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    Databricks Data Engineer (GCP BigQuery To Azure Databricks Migration

    Tech Mahindra · Hyderabad · hybrid · Posted 29d ago

    ₹8.0L - ₹18.0L PA5–10 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Databricks Data Engineer (GCP BigQuery to Azure Databricks Migration)


    Location: Bangalore / Hyderabad / Pune
    Experience: 6-12 Years

    We are looking for a highly skilled Databricks Data Engineer to join a large-scale enterprise cloud modernization program focused on migrating data platforms from Google Cloud Platform (BigQuery/GDAP) to Azure Databricks Lakehouse.


    The ideal candidate will have hands-on experience in BigQuery migration projects, modern data engineering practices, Azure Databricks, PySpark, Delta Lake, and large-scale ETL modernization initiatives.


    This role requires strong technical expertise in designing scalable data pipelines, optimizing lakehouse architectures, and ensuring successful end-to-end migration of enterprise data assets.


    Key Responsibilities


    • Design, develop, and optimize scalable ETL/ELT pipelines using Azure Databricks and PySpark.
    • Migrate BigQuery datasets, tables, views, and schemas to Azure Databricks Delta Lake.
    • Implement Medallion Architecture (Bronze, Silver, Gold) and Lakehouse best practices.
    • Develop robust batch and incremental data processing frameworks.
    • Build data validation, reconciliation, and quality assurance frameworks.
    • Perform SQL optimization, Spark performance tuning, and workload optimization.
    • Support historical data migration, testing, deployment, and production stabilization.
    • Collaborate with architects, business stakeholders, and data platform teams during the migration journey.
    • Implement CI/CD processes and version control using Git-based repositories.
    • Ensure data governance standards through Unity Catalog and enterprise security controls.

    Mandatory Skills


    Core Databricks & Spark

    • Azure Databricks
    • PySpark
    • Spark SQL
    • Delta Lake
    • Unity Catalog
    • Data Lakehouse Architecture
    • Medallion Architecture

    Azure Data Engineering

    • Azure Data Lake Storage (ADLS Gen2)
    • Azure Data Factory (ADF) (Preferred)
    • Data Pipeline Development
    • ETL/ELT Frameworks

    Migration Expertise (Must Have)

    • Google BigQuery
    • GCP to Azure Migration
    • BigQuery Schema Conversion
    • Data Migration Strategy
    • Data Validation & Reconciliation Frameworks

    Development & DevOps

    • SQL Performance Tuning
    • Git
    • CI/CD Pipelines
    • Production Deployment & Support

    Preferred Skills

    • Airflow / Cloud Composer
    • Google Dataflow
    • DBT (Data Build Tool)
    • Azure Key Vault
    • Terraform
    • Data Governance & Metadata Management
    • Agile/Scrum Delivery Model

    Qualifications


    • 6-12 years of Data Engineering experience.
    • Minimum 3+ years of hands-on Azure Databricks experience.
    • Proven experience in at least one large-scale cloud migration program involving BigQuery.
    • Strong understanding of modern cloud-native data architectures and Lakehouse concepts.

    Looking for short Notice joiners, if interested, Pls share your resume to [email removed]

    Total Exp -

    Current Location -

    Current CTC -

    Expected CTC -

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    Sourced from naukri

    Skills

    DeltaAdls Gen2Gcp BigqueryData Build ToolPysparkData MigrationAzure DatabricksAzure Data Lake

    About Tech Mahindra

    Tech Mahindra logo

    Tech Mahindra

    IT Services & Consulting

    119.3k+

    employees

    1986

    40 years old

    Pune, Maharashtra

    India

    ₹8L – ₹18L PA

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