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Databricks Data Engineer (GCP BigQuery To Azure Databricks Migration

  • Source: Naukri
  • Tech Mahindra
  • $8,321.87 to $18,724.2 /yr
  • Hybrid
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

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 protected]

Total Exp -

Current Location -

Current CTC -

Expected CTC -

Notice period -

Current Company -

Skills

  • azure-databricks
  • databricks
  • google-cloud-platform
  • microsoft-azure
  • pyspark
  • delta-lake
  • Spark
  • unity-3d
  • apache-spark-sql
  • azure-storage
  • aws-data-lake-storage
  • azure-data-factory
  • google-bigquery
  • Airflow
  • apache-airflow
  • google-cloud-composer
  • Composer
  • dbt
  • azure-key-vault
  • vault
  • Terraform

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