Data Management Engineer - Mid
Core
Maintain actuarial data assets, reporting platforms, and automation solutions with a focus on production support, data operations, and troubleshooting.
Role type
Mid-level Data Management Engineer
Builds
Production data pipelines, datasets, dashboards, and reporting processes
Domain
Actuarial services / Data Operations
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
SQL/T-SQL, Python, ETL process maintenance, data reconciliation, Power BI development, Snowflake data structures, SQL query optimization, data anomaly investigation, root cause analysis
Preferred skills
Streamlit application development, Visual Studio/VS Code proficiency
Technologies
SQL, T-SQL, Python, Power BI, SSIS, Snowflake, Visual Studio, VS Code, Streamlit
Responsibilities
Monitor and maintain datasets, ETL processes, and reporting/reconciliation solutions; Troubleshoot processing issues and data discrepancies; Investigate failed jobs, report defects, and performance bottlenecks; Support release validation and post-deployment monitoring; Develop solutions to automate recurring operational activities; Maintain and enhance Power BI reports and dashboards; Optimize SQL queries, views, and transformations; Support Snowflake data structures and data movement processes
Seniority
Mid-level, hands-on IC
