Hexaware Technologies
Ms Sql Server ssis ssrs
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Hybrid
Published on:
13 August 2026
What they need
Work location : Chennai and Bangalore
Work mode : Hybrid
Looking for a Microsoft SQL Server BI/Data Warehouse Developer with 6-8 years of hands-on experience in the Microsoft BI stack, including SQL Server, SSAS, SSRS, and SSIS, focused on data warehouse and analytics solutions.
- The ideal candidate will have 68 years of hands-on experience with Microsoft SQL Server, SSAS, SSRS, and SSIS.
- They will design, develop, optimize, and support databases, data warehouses, data marts, semantic models, reports, and analytical solutions.
- They must demonstrate strong proficiency in SQL, MDX, and DAX for complex querying, data transformation, modeling, and performance tuning.
- The candidate should be experienced in developing and maintaining SSAS Tabular and Multidimensional models, including measures, hierarchies, partitions, relationships, and security.
- They should possess at least five years of practical experience developing, deploying, monitoring, troubleshooting, and maintaining SSIS packages and SSRS reports.
- A strong foundation in relational database concepts, dimensional modeling, normalization, indexing, partitioning, data quality, and ETL design is essential.
- The role requires the ability to understand source systems, identify data risks, and translate business needs into scalable and maintainable technical solutions.
- The candidate should be comfortable investigating root causes across data, code, infrastructure, and application dependencies.
- They must write clean, modular, testable, version-controlled code and apply appropriate standards for logging, error handling, documentation, and deployment. Experience with SDLC,
- Agile delivery, DevOps practices, source control, CI or CD, and release management is expected.
- Familiarity with cloud data platforms, modern analytics architectures, automation, and emerging data technologies will be advantageous.
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