Data Engineer/ Senior Data Engineer - Insurance

Job Responsibilities:

• Design, develop, and maintain ETL/ELT pipelines on Microsoft Azure (Azure Data Factory, Databricks, Azure SQL / Azure SQL Managed Instance).
• Optimize SQL queries and stored procedures for performance, scalability, and reliability.
• Collaborate with data modelers to understand data structures, normalization, and data quality requirements.
• Implement CI/CD pipelines and deployment strategies using Azure DevOps (Repos, pipelines, release management).
• Monitor, troubleshoot, and improve data pipelines; address data quality issues and incidents.
• Coordinate with Office tech team and other local IT teams (architects, BAs, etc.) as needed.
• Participate in Agile ceremonies and use collaboration tools (JIRA, Confluence, Kanban boards).

Qualifications:

• Over 2 years of hands-on experience with ETL/ELT tooling, Databricks, SQL, and stored procedures.
• Strong SQL tuning/optimization skills.
• Experience with Azure Data Factory and Databricks; familiarity with Azure SQL or SQL Managed Instance.
• Working knowledge of Azure DevOps (Repos, CI/CD pipelines).
• Understanding of data modeling and normalization.
• Experience with Agile methodologies and collaboration tools (JIRA, Confluence, Kanban).
• Vendor management: experience coordinating with external vendors, managing deliverables, and tracking SLAs; ability to engage vendors for data platform needs.