Data Engineer.

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profile Job Location:

San Jose, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: 13 hours ago
Vacancies: 1 Vacancy

Job Summary

Role : Data Engineer
Location : San Jose CA
Duration : Long term

Key Responsibilities

  • Support and enhance the Enterprise Data Warehouse (EDW) built on Microsoft SQL Server.
  • Develop maintain and optimize SSIS-based ETL batch processes.
  • Design and implement robust data transformation logic to integrate Guidewire PolicyCenter data into the EDW.
  • Analyze complex Guidewire data models and map operational structures into dimensional warehouse models.
  • Ensure high data quality performance tuning and optimization of SQL queries and ETL jobs.
  • Collaborate with business and insurance stakeholders to understand workflows and reporting needs.
  • Create documentation for data models mappings and transformation rules.
  • Troubleshoot data discrepancies and resolve production issues.
  • Recommend improvements to ETL processes and warehouse architecture.

Required Qualifications

  • 12 years of experience as a Data Engineer or similar role.
  • Strong expertise in Microsoft SQL Server (T-SQL indexing query optimization stored procedures).
  • Hands-on experience with SSIS for batch ETL development.
  • Deep familiarity with Guidewire PolicyCenter data models.
  • Strong understanding of insurance domain workflows especially within Property & Casualty (P&C).
  • Experience designing and maintaining Enterprise Data Warehouses (EDW).
  • Strong analytical and problem-solving skills.
  • Excellent communication skills and ability to work with cross-functional teams.
Role : Data Engineer Location : San Jose CA Duration : Long term Key Responsibilities Support and enhance the Enterprise Data Warehouse (EDW) built on Microsoft SQL Server. Develop maintain and optimize SSIS-based ETL batch processes. Design and implement robust data transformation logic to ...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala