The Data Engineer - Insurance Data Services will perform analysis on structured, unstructured, and semi-structured raw data, and develop and support data platforms for high availability, high performing, and regulatory supporting applications.
Requirements
- Experience with Big Data, Hive, Spark, Pyspark, Databases and SQL language.
- Working experience with Trino / Tableau, ETL and reporting concept.
- Working knowledge of Cloudera and Unix and windows environment.
- Working knowledge of Python/Spark.
- IT Standards, Methodologies, SDLC, Information Security & audit requirements.
- Knowledge on creating formal written deliverables and other documentation and ensure design, code and documents are aligned with enterprise direction, principles and standards.
- Working knowledge of JCL/Zeke/OMS.
- Working knowledge of ServiceNow Incident and Change Management.
- Working knowledge of Helios/Github for Source Code Management.
- Working knowledge of Reporting.
- Insurance industry knowledge.
Benefits
- Comprehensive Total Rewards Program including bonuses and flexible benefits and competitive compensation
- Leaders who support your development through coaching and managing opportunities
- Work in a dynamic, collaborative, progressive, and high-performing team
- Opportunities to do challenging work