Description

Job Responsibilities include:

Develop and maintain ETL/ELT data pipelines using SQL Server and SSIS to support data integration and transformation needs.

Design and optimize data warehouse solutions (Star/Snowflake schema) for reporting and analytics.

Write and tune complex SQL queries, stored procedures, and T-SQL for large-scale data processing.

Build and manage data pipelines across staging, ODS, and data marts ensuring high performance and reliability.

Implement data quality checks including audit, balance, and control mechanisms within data solutions.

Collaborate with teams to deploy and manage CI/CD pipelines using Azure DevOps for data workflows.

Required Qualifications:

Bachelor’s degree in computer science, Information Technology, or a related field.

6–8 years of experience in data engineering with strong focus on SSIS, SQL Server, and data warehousing.

Proven expertise in developing and optimizing ETL/ELT pipelines using SSIS and T-SQL for large-scale data processing.

Hands-on experience in data warehouse design (Star/Snowflake schema) and CI/CD pipeline implementation using Azure DevOps

Key Skills

Education

Any Graduate