Senior Software Engineer – Data Infrastructure Senior Software Engineer – Data Infrastructure

Senior Software Engineer – Data Infrastructure


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posted by megan@odsc.com October 25, 2018

San Mateo, CA Posted 3 weeks ago Guidewire Cyence Risk Analytics Job description About Guidewire Cyence Risk Analytics Guidewire Software (NYSE: GWRE) is a... Senior Software Engineer – Data Infrastructure

Guidewire Cyence Risk Analytics

Job description

About Guidewire Cyence Risk Analytics

Guidewire Software (NYSE: GWRE) is a leading provider of software solutions to the global property-casualty (P&C) insurance industry, with over 300 customers, on six continents. Guidewire’s Cyence Risk Analytics helps insurers and other financial institutions to model new and evolving risks such as cyber. By combining internet-scale data listening, adaptive machine learning, and insurance risk modeling, Cyence insights that help P&C customers face new risks, take advantage of new opportunities, and develop new products. To learn more about Cyence, visit https://www.guidewire.com/products/cyence.

Responsibilities

  • Develop software to perform large-scale data processing and analytics
  • Build Cloud-based infrastructure to automate and scale data processing tasks
  • Contribute to the design and architecture of innovative solutions to difficult problems
  • Building and optimizing big data pipelines, architectures and data sets.
  • Actively participate in a fast-paced Agile environment

Requirements

  • Bachelor’s or Master’s Degree in Computer Science or equivalent
  • Passion for solving difficult problems involving data and mathematics
  • 6+ years experience in a data engineering or similar equivalent role
  • Willingness to learn new technologies, be nimble and adaptable
  • Excellent programming skills in Python or Java (open to Python), coupled with a deep understanding of object-oriented software design patterns
  • Solid knowledge of databases and SQL
  • Extensive experience with Amazon AWS services such as EC2, Lambda, ECS, S3, SQS, Redshift
  • Familiarity with open source data processing frameworks such as NoSQL (MongoDB, Cassandra, HBase), Hadoop (MapReduce, Hive, Pig), Apache Spark

Preferred

  • Experience with ETL (hand-coded or using commercial/open source tools)
  • Experience with data mining and machine learning
  • Experience with data analysis tools such as R and Pandas
  • Experience with Docker in a production environment

Intermediate to Senior kmoritz@guidewire.com

To apply for this job please visit www.linkedin.com.

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