Job Description

Key Responsibilities:

• Build out technical processes from specifications provided in High Level Design and data specifications documents.

• Integrate test and validation processes and methods into every step of the development process

• Work with Lead Architects and provide inputs into defining user stories, scope, acceptance criteria and estimates.

• Systematic problem-solving approach, coupled with a sense of ownership and drive

• Ability to work independently in a fast-paced Agile environment

• Actively contribute to the knowledge base from every project you are assigned to.

• At Guidewire, we foster a culture of curiosity, innovation, and responsible use of AI—empowering our teams to continuously leverage emerging technologies and data-driven insights to enhance productivity and outcomes.

Qualifications:

• Bachelor’s or Master’s Degree in Computer Science, or equivalent level of demonstrable professional competency, and 3 - 5 years + in a technical capacity building out complex ETL Data Integration frameworks.

• 3 + Years of Experience with data processing and ETL (Extract, Transform, Load) and ELT (Extract, Load, and Transform) concepts, OLAP, OLTP, LAD, Data Streaming, Data Modeling

• Experience with ADF or AWS Glue, Spark/Scala, GDP, CDC, ETL Data Integration,

• Experience working with relational and/or NoSQL databases

• Experience working with different cloud platforms (such as AWS, Azure, Snowflake, Google Cloud, etc.)

• Ability to work independently and within a team.

• Demonstrated ability to embrace AI and apply it to your current role as well as data-driven insights to drive innovation, productivity, and continuous improvement.

Nice to have:

• Insurance industry experience

• Experience with ADF or AWS Glue

• Experience with the Azure data factory, Spark/Scala, Snowflake

• Experience with the Guidewire Data Platform - Data Studio, Explore. Datahub, InfoCenter, CDA