Sr. SQL Database Administrator

The State will conduct interviews. The State reserves the right to remove a resource from consideration if the resource is unavailable for interview as requested by the State. Interviews will be conducted via Microsoft Teams. Description of Project The Minnesota Department of Information Technology Services (MNIT) partnering with the Department of Corrections, is seeking a Database Developer to assist in the design and maintenance of various databases, develop and optimize ETL pipelines and workflows, develop and optimize SQL scripts and stored procedures to support data conversion, validation, and ongoing processing needs. The Database Developer will develop stored procedures, views, SQL scripts, and other database components supporting transactional and reporting systems. The Database Developer will also execute large-scale data migrations, including cleansing, validation, and transformation across enterprise systems, build data ingestion and transformation workflows across raw, staging, curated, and analytics layers, maintain various reporting solutions using SSRS and Power BI, and Design and implement logical and physical data models (ERDs) for various applications. The Database Developer will also provide production support, including troubleshooting performance issues and on-call support and collaborate with cross-functional teams and participate in Agile ceremonies, development activities, code reviews, and release cycles. At a high level, the resource will develop, maintain, and optimize enterprise database solutions and will support data integration, conversion, migration, reporting, and database performance while ensuring the accuracy, reliability, and integrity of enterprise data. The resource will also provide production support and collaborate with cross-functional project teams throughout the system development lifecycle using Agile methodologies. Tasks:

• Design and maintain various databases, including stored procedures, indexing, and data models.
• Develop and optimize ETL pipelines and workflows using SSIS, Python, PySpark, and SQL Server.
• Execute large-scale data migrations, including cleansing, validation, and transformation across enterprise systems.
• Develop and optimize SQL scripts and stored procedures to support data conversion, validation, and ongoing processing needs.
• Build data ingestion and transformation workflows across raw, staging, curated, and analytics layers.
• Build and maintain various reporting solutions using SSRS and PowerBI.
• Design and implement logical and physical data models (ERDs) for various applications.
• Develop stored procedures, views, SQL scripts, and other database components supporting transactional and reporting systems.
• Provide production support, including troubleshooting performance issues and on-call support when needed.
• Collaborate with cross-functional teams and participate in Agile ceremonies, development activities, code reviews, and release cycles.
• Provide knowledge transfer.

• 10+ years of experience in database development or data engineering.
• Expertise in SQL Server, T-SQL and performance tuning.
• Experience with ETL tools (SSIS), Python, or PySpark.
• Strong background in data modeling and data integration.
• Experience with reporting tools (SSRS, PowerBI).
• Working knowledge of DevOps tools such as Azure DevOps, GitHub, or Jenkins.
• Experience supporting critical applications in financial, government, or legal industries.

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• 13 days ago +