Description

You will design, build, and maintain ETL/ELT data pipelines using SQL Server and SSIS to support data integration and transformation.

This role is hybrid.

Responsibilities

• Develop and maintain ETL/ELT data pipelines using SQL Server and SSIS.
• Design and optimize data warehouse solutions using Star/Snowflake schemas for reporting and analytics.
• Write, tune, and manage complex SQL queries, stored procedures, and T-SQL for large-scale data processing.
• Build and manage data pipelines across staging, ODS, and data marts to ensure high performance.
• Implement data quality checks including audit, balance, and control mechanisms.
• Deploy and manage CI/CD pipelines using Azure DevOps for data workflows.

Required Skills

• 6+ years of experience in data engineering with a strong focus on SSIS.
• Strong expertise in SQL Server and T-SQL for large-scale data processing.
• Hands-on experience in data warehouse design, including Star and Snowflake schemas.
• Proven track record of developing and optimizing ETL/ELT pipelines.
• Experience implementing CI/CD pipelines using Azure DevOps.
• Bachelor’s degree in Computer Science, Information Technology, or a related field.

Key Skills

Education

Any Graduate