As a senior ETL Developer for the Data and Analytics team, at Guidewire you will participate in a leadership capacity collaborating with our customers and SI Partners who are adopting our Guidewire Data Platform as the centerpiece of their data foundation. 
You will work to drive consensus among all participants in projects to realize ETL Architecture goals of our customers adhering to Guidewire best practices and standards..You will work with our customers, partners, and other Guidewire team members to deliver successful data transformation initiatives. You will utilize best practices for design, development and delivery of customer projects. You will share knowledge with the wider Guidewire Data and Analytics team to enable predictable project outcomes.
One of our principles is to have fun while we deliver, so this role will need to keep the delivery process fun and engaging for the team in collaboration with the broader organization. Given the dynamic nature of the work in the Data and Analytics team, we are looking for decisive, highly-skilled technical problem solvers who are self-motivated and take proactive actions for the benefit of our customers and ensure that they succeed in their journey to Guidewire Cloud Platform. You will collaborate closely with teams located around the world and adhere to our core values Integrity, Collegiality, and Rationality. Key Responsibilities:Able to Design and propose high level design diagrams for overall system architecture Lead Inception Sessions to build consensus on project scope, and generate user stories with acceptance criteria.Work with the PMO providing domain expertise to achieve successful project outcomes.Lead efforts to harvest project collateral to build out collateral to enable repeatability.Create new tooling to streamline data processing when called upon or when the opportunity presents itselfSystematic problem-solving approach, coupled with a sense of ownership and driveAbility to work independently in a fast-paced Agile environment Qualifications:Bachelor’s or Master’s Degree in Computer Science, or equivalent level of demonstrable professional competency, and 8 years + in a technical capacity building out complex ETL Data Integration frameworks.5 + years of Experience with data processing and ETL (Extract, Transform, Load) and ELT (Extract, Load, and Transform) concepts.At least 3 years of experience leading design review sessions to  build consensus among diverse groups of technical and business participants.At least 3 years in a leadership capacity for delivering complex data transformation initiatives including mentoring and team building.Experience working with relational and/or NoSQL databasesExperience working with different cloud platforms (such as AWS, Azure, Snowflake, Google Cloud, etc.)Experience working with customer teams to understand business objectives and functional requirements.Familiarity in Change Data Capture (CDC) frameworksAbility to work independently and within a team.Flexibility to work shifts as needed to align with AMER/APAC Colleagues/CustomersNice to have:Insurance industry experienceExperience with AWS GlueExperience with the Azure data factoryExperience with the Guidewire Data PlatformAbout Guidewire
Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently. We combine digital, core, analytics, and AI to deliver our platform as a cloud service. More than 540+ insurers in 40 countries, from new ventures to the largest and most complex in the world, run on Guidewire.
As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1600+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of applications that accelerate integration, localization, and innovation.
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Guidewire Software Inc. provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.
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