Description

You will focus on engineering data products and analytics for claims, P&L, and commercial datasets using Databricks.

Responsibilities

• Develop and support new or existing data applications through hands-on engineering.
• Collaborate with Application and Enterprise Architects to review low-level implementation designs and data flows.
• Provide technical guidance for implementing complex data solutions, including code reviews and test deployment.
• Work with business stakeholders and analysts to recommend best practices for long-term system design.
• Maintain detailed documentation for downstream integrations and support production issues.

Required Skills

• 5+ years of experience in Data Warehousing, Data Integration, or Data Engineering projects.
• Practical experience with Azure Databricks.
• Proficiency in SQL.
• Experience using Python or Scala.
• Hands-on experience with data modeling and understanding its impact on KPIs.
• Working knowledge of the Azure ecosystem.
• Experience with analytical platforms such as Power BI, AzureML, or Synapse.
• Exposure to on-prem ERP/ETL systems or similar environments.
• Bachelor's degree in Computer Science or a related engineering field.

Preferred Skills

• Experience with Azure DevOps and GitHub.
• P&C Insurance industry experience.

Key Skills

Education

Bachelor's degree in computer science