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Mid-level, Bangalore, common Microsoft SQL/SSIS skillset increases applicant density.
Microsoft SQL Server/SSIS warehousing skills transfer across industries but require platform-specific expertise.
Explicit 5+ years, mandatory SQL Server and SSIS requirements enforce strict filtering.
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Design, develop, test, and maintain robust ETL processes using SSIS to integrate and transform data from multiple sources for enterprise data warehouse solutions.
Optimize and develop complex, highly efficient T-SQL queries, stored procedures, and data models to support large-scale data warehousing and reporting needs.
Support data quality, governance initiatives, and reporting teams by ensuring data accuracy, developing data structures optimized for BI tools, and maintaining technical documentation.
5+ years of hands-on experience in Data Warehouse Development and SQL Server development.
3+ years experience specifically in developing and supporting SSIS ETL packages.
Proficiency in Microsoft SQL Server technologies (2016/2019/2022), advanced T-SQL programming, and data warehouse modeling (star and snowflake schemas).
Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Engineering, or related discipline.
Experienced in large enterprise environments handling high-volume transactional data and complex integration challenges.
Proficient in troubleshooting, query optimization, and performance tuning within Microsoft SQL Server ecosystems.
Familiar with Agile/Scrum development practices and collaboration with cross-functional teams including DBAs, analysts, and project managers.