MNIT/DOC Database Developer 114290

TechWish

• $90K — $120K *
Minneapolis, MN 55407In-Person
Information Technology
8 - 10 years of experience
Today
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Job Overview by Ladders

Qualifications

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

Responsibilities

  • Design and maintain various databases, including stored procedures and data models.
  • Develop and optimize ETL pipelines using SSIS, Python, and SQL Server.
  • Execute large-scale data migrations with cleansing and validation.
  • Build data transformation workflows across multiple layers.
  • Create and maintain reporting solutions with SSRS and PowerBI.
  • Develop logical and physical data models for applications.
  • Provide production support and troubleshoot performance issues.
  • Collaborate with teams in Agile development practices.

Benefits

  • Opportunity to work in critical sectors like finance and government.
  • Engagement with cross-functional teams enhances collaborative skills.
  • Involvement in Agile ceremonies supports a dynamic work environment.
  • Exposure to DevOps practices aligns with industry standards.
  • Career growth potential in advanced database and ETL technologies.
Full Job Description
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.

Desired Skills
• 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.
* Ladders Estimates

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