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Ms Sql Server ssis ssrs

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Hybrid

Ms Sql Server ssis ssrs

Hexaware Technologies

Ms Sql Server ssis ssrs

Skills

SQL QueriesMicrosoft SQL ServerGitData Analysis

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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