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
