Description

Responsibilities

• Develop, enhance, and support new and existing data applications and integration pipelines.
• Partner with business stakeholders and analysts to understand requirements, data, and business processes; recommend practical solutions and improvements.
• Collaborate with Application and Enterprise Architects on implementation designs and data flows.
• Provide technical guidance to team members implementing complex data solutions.
• Participate in development, code reviews, testing, deployment, and documentation.
• Maintain detailed documentation supporting downstream integrations.
• Troubleshoot and resolve production issues.
• Perform Scrum Master activities as needed to support delivery.
• Evaluate emerging technologies and opportunities to improve the data environment.

Qualifications

• 5–7 years of experience in data engineering, data integration, or data warehousing.
• Strong hands-on experience with Azure Databricks and the broader Azure ecosystem.
• Proficiency in SQL and Python or Scala.
• Experience with Informatica PowerCenter/IICS, Cognos, and Netezza Performance Servers.
• Experience with analytical platforms such as Power BI, Azure ML, Databricks, or Synapse.
• Strong communication skills and the ability to collaborate across technical and business teams.
• Azure DevOps and GitHub experience preferred.
• Property & Casualty insurance experience preferred.
• Bachelor’s degree in Computer Science or a related engineering field preferred

Key Skills

Education

Bachelor's degree