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Elevance Systems
SQL Developer
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Job Description
SQL Developer Elevance Systems
- 3.
- see the selection process below. SQL Server Agent
- building, scheduling, monitoring and troubleshooting job chains in a production environment. SSIS
- developing and maintaining packages, including debugging failures in deployed packages. Azure Databricks
- demonstrable hands-on experience. Notebooks, jobs and workflows, Spark SQL and/or PySpark, and Delta Lake. This is a firm requirement, not a nice-to-have. MuleSoft
- hands-on development of API integrations, including Mule flows, DataWeave transformations, error handling, deployment, and production monitoring. AI-assisted development ("vibe coding"). Demonstrated productive use of agentic coding tools such as Claude Code, Databricks Genie, OpenRouter, or Cursor to write, refactor, troubleshoot and document code
- together with the engineering judgment to review, test and validate AI-generated output before it reaches production. Given how much of this role involves working inside unfamiliar inherited code, we regard this as a genuine productivity multiplier and we will ask candidates how they use these tools. Performance tuning
- execution plan analysis, index design, statistics maintenance, and diagnosing queries that regress in production. Production support discipline
- working incidents to resolution against service-level expectations, and communicating clearly while an issue is open.