Description

You will design, build, and maintain scalable data pipelines using Azure Data Factory, Synapse Analytics, and Databricks.

This role is hybrid.

Responsibilities

• Design end-to-end data pipelines using Azure Data Factory, Synapse Analytics, and Databricks.
• Implement data ingestion and transformation processes from on-premises and cloud sources.
• Optimize SQL scripts, stored procedures, and views for reporting and data quality.
• Configure Azure storage accounts, databases, and compute services.
• Ensure data governance and security using Azure Purview, Key Vault, and RBAC.

Required Skills

• 5+ years of experience in data engineering roles.
• Expertise in Azure Data Factory (pipelines, triggers, linked services, data flows).
• Hands-on experience with Azure Synapse Analytics and SQL Data Warehouse.
• Proficiency in Azure Databricks (Spark/PySpark) for large-scale data processing.
• Strong proficiency in SQL, T-SQL, query optimization, and performance tuning.
• Experience with ETL/ELT frameworks and data modeling (Star/Snowflake schema).
• Familiarity with Azure Data Lake Gen2 storage best practices.

Preferred Skills

• CI/CD implementation using Azure DevOps; familiarity with Git, ARM templates, or Terraform.
• Microsoft Certified: Azure Data Engineer Associate (DP-203) or equivalent.

Key Skills

Education

Any Graduate