Job Description: Senior Data Engineer – SQL Server, SSIS, Azure & Power BI
Experience: 8–12 Years
Primary Technology Stack: Microsoft SQL Server, SSIS, Azure Data Factory, Azure Databricks, Power BI, Advanced DAX
Role Type: Senior-Level Technical Position

Job Summary
We are looking for an experienced Senior Data Engineer with solid expertise in Microsoft SQL Server, ETL development, Azure data integration services, and Power BI reporting. The ideal candidate will have extensive hands-on experience in developing and optimizing complex SQL queries, building and maintaining ETL pipelines using SSIS and Azure Data Factory (ADF), and processing data using Azure Databricks.
The role requires advanced proficiency in Power BI and DAX, including the development of complex measures, calculated columns, calculated tables, KPIs, and time-intelligence calculations. The candidate should have a strong understanding of data warehousing, dimensional modeling, data quality, and semantic model optimization.




The successful candidate will also be responsible for supporting legacy SSIS solutions while contributing to modern, scalable, and secure cloud-based data engineering and analytics initiatives.
Key Responsibilities
1. Data Engineering and ETL Development
• Design, develop, and maintain robust ETL/ELT pipelines using SSIS, Azure Data Factory, and Azure Databricks.
• Develop, optimize, and maintain complex T-SQL queries, stored procedures, views, and functions in Microsoft SQL Server.
• Support, troubleshoot, and enhance existing SSIS packages and legacy ETL workflows.
• Implement scalable data integration and transformation solutions for enterprise analytics.
• Monitor pipeline execution, troubleshoot failures, and optimize data processing performance.

2. Data Warehousing and Data Modeling
• Design and maintain enterprise data warehouse solutions to support business intelligence and reporting requirements.
• Develop dimensional data models using star and snowflake schemas.
• Impl

📌 Senior Data Engineer (India)
🏢 MindBrain
📍 India