Data management and BI • Predictive Analytics • Risk Analysis • Cloud Platform • Unified digital, core, analytics, and AI
1001 - 5000
💰 $750k Series C on 2008-03
5 days ago
Data management and BI • Predictive Analytics • Risk Analysis • Cloud Platform • Unified digital, core, analytics, and AI
1001 - 5000
💰 $750k Series C on 2008-03
• Ready for a new challenge? Join Guidewire as a Data Engineering Manager! We are building a new team to take advantage of our market leading position and access to data to build advanced predictive models and variables to drive the next generation of growth in the P&C insurance market. This is an opportunity to come on board early and shape our direction and have a broad impact on the insurance industry.
• Bachelors or Masters degree or equivalent industry experience • Passion for solving complex data engineering problems • 10+ years of relevant data engineering experience • 3-5 years of relevant management experience • Advanced, hands on experience building modeling datasets and features for predictive modeling • Expert SQL skills, including advanced functions, table design, view creation, stored procedure and script design and coding, general performance tuning • Expert data profiling and analysis skills including statistical analysis • Extensive experience building ML data pipelines and working with feature stores • In-depth knowledge of Python • Deep experience with AWS data capabilities like Airflow, Glue, Redshift, EMR • Experience with developing and automating data quality monitoring • Experience with US/Canadian P&C standard lines of business • Experience with P&C policy administration and claims processing concepts • Demonstrated experience working with Guidewire ClaimCenter and/or PolicyCenter data • Exposure to and understanding of NLP and other ML techniques • Experience with AWS Sagemaker and Feature Store a bonus • Experience and skill in communicating insights derived from data to both technical and non-technical personnel • Ability to plan and carry out projects with minimal direction • Self-motivated and detail-oriented with desire to solve problems
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