Guidewire

San Mateo, CA
1,001-5,000 employees
Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently.

Data Management Application Support Engineer ETL , BI - 5 Days Workweek (Saturday & Sunday must be covered)

Data Management Application Support Engineer ETL , BI - 5 Days Workweek (Saturday & Sunday must be covered)

This job is no longer open
Please note, all weekends work is mandatory  (Negotiable shift pattern during the week but Saturday and Sunday must be covered)

As an Application Engineer focused on Data Management, you will learn everything there is to know about Guidewire’s Data Hub and InfoCenter products, and you’ll communicate and share that knowledge with Guidewire’s internal and external customers.

Guidewire’s Customer Support team is part of the Cloud & Customer Operations organization, delivering 24x7 service to customers who are using Guidewire software both on-premise and in the Guidewire Cloud.
 
We’re searching for people who are as passionate about working together to deliver quality products and support as we are. Join us and enjoy a career where you can make an impact.  You’ll be inspired by those around you, and you’ll be trusted and empowered to go further.

Essential Duties and Responsibilities

    • Case Resolution

    • Collaborate with development, operations, customer success and sales teams to ensure success with Guidewire products
    • Report and track software defects with the development team, following up with customers to resolve usage or functional issues
    • Responsible for specific customer on-boarding tasks; Establishing account and application access      
    • Coordinate network setup for regular transfer of customer data for use in the products

    • Knowledge Management

    • Contribute to an environment that encourages information sharing, team-based resolution activity, cross-training and an absolute focus on doing what is best for the customer
    • Create knowledgebase articles and other informational documents to be shared with customers and teammates

Required Skill and Experience

    • Bachelor’s Degree in Computer Science, technical, engineering, or data analytics related field
    • 2-3 years’ experience supporting end users of SaaS products
    • Strong knowledge of relational database theory, data mapping, data modeling
    • Knowledge of data-warehousing, Data Marts (including star and snowflake schemas) and BI
    • 3+ years of experience in database administration (Oracle or Microsoft SQL Server)
    • Fluency in SQL scripting (TSQL and/or PL/SQL), including query optimization
    • Experience working with Cognos for report design and maintenance
    • Experience with ETL tools such as SAP Business Objects, Informatica, SSIS
    • Experience with case management/ticketing systems such as Salesforce.com or Service Now
    • Familiarity with Java and XML
    • Experience working with customer relationship management systems (e.g., Salesforce) and/or software defect tracking systems (e.g., Jira)
    • Experience with Amazon Web Services (AWS)(Bonus)

Personal Qualities

    • Outstanding troubleshooting skills; ability to think critically and display an aptitude for problem solving
    • Employ sound business judgment when making business decisions
    • Use creative and innovative ways to solve problems
    • Display a strong work ethic and do whatever it takes to get the job done
    • Demonstrate strong follow-through and consistently keep commitments to customers and employees
    • Display an understanding of the customer’s needs and a strong commitment to customer satisfaction
    • Ensure that each and every customer is handled with a consummately professional attitude and the highest possible level of service
    • Demonstrated ability to work collaboratively with others in a technical project environment

Other Requirements

    • Ability to read, write, and speak fluent English
    • Strong oral and written communication skills
    • Knowledge of the insurance industry or prior experience on an insurance related project is a bonus
    • Experience with Kibana; Elastic Stack
    • Experience with Python
    • Experience with JSON
    • Experience with streaming data processing technologies such as Kafka and Spark
    • You will be part of a team based at our company office in Toronto
    • We provide 24x7 support to our customers, so we expect you to take turns with your teammates being on-call for after-hours production emergencies
    • Weekend support coverage is mandatory
    • Travel – Expect occasional travel (less than 5%) to other Guidewire offices for training and meetings 
About Guidewire

Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently.

Guidewire combines core, data, digital, analytics, and AI to deliver our platform as a cloud service. More than 400 insurers, including 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 1000+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of add-ons that accelerate integration, localization, and innovation.

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.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. 
This job is no longer open
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