Data Engineer

Compunnel

$110K — $130K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Hands-on experience as a Data Engineer
  • Strong experience with Guidewire PolicyCenter and BillingCenter
  • Background in insurance policy and billing data
  • Proficient in SQL
  • Experience with PySpark
  • Familiarity with AWS technologies
  • Expertise in large-scale data processing and pipeline development

Responsibilities

  • Design, develop, and maintain scalable data pipelines for insurance operations
  • Create data solutions for analytics, reporting, and business intelligence
  • Utilize Guidewire systems to meet business and technical requirements
  • Build and manage cloud-based data solutions with AWS
  • Process large datasets using PySpark and SQL
  • Ensure reliability and scalability of data pipelines
Full Job Description
Job Summary
The Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines that support insurance operations, analytics, reporting, and business intelligence initiatives. The role requires strong expertise in Guidewire PolicyCenter and BillingCenter, cloud-based data solutions, and large-scale data processing, along with a solid understanding of insurance policy and billing data.

Key Responsibilities
• Design, develop, and maintain scalable data pipelines to support insurance operations.
• Develop data solutions to support analytics, reporting, and business intelligence initiatives.
• Work with Guidewire PolicyCenter and BillingCenter data to support business and technical requirements.
• Build and maintain cloud-based data solutions using AWS technologies.
• Process and manage large-scale datasets using PySpark and SQL.
• Ensure data pipelines are scalable, reliable, and aligned with business requirements.

Required Qualifications
• Hands-on experience as a Data Engineer.
• Strong experience with Guidewire PolicyCenter and BillingCenter.
• Experience working with insurance policy and billing data.
• Strong proficiency in SQL.
• Hands-on experience with PySpark.
• Experience with AWS technologies and cloud-based data solutions.
• Experience with large-scale data processing and data pipeline development.

_:empty]:hidden">

Similar Jobs

More Jobs at Compunnel

More Finance & Insurance Jobs

Find similar Data Engineer jobs: