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1 Week ago

Senior Software Engineer (Java, Microservices, Kafka)

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Information Technology
Full-Time
Guidewire Software, Inc.

Overview

India - Bangalore

Product Development and Operations/Full time/Hybrid


Are you passionate about building large scale multi-tenant cloud-native data platforms? Do you have prior experience in building data platform/data lake and analytics SaaS services in the public cloud.

Come join our Data platform and Analytics team. This team owns, builds, and operates Guidewire’s cloud-native data platform and analytics SaaS offerings. Guidewire’s data platform is targeted to be best-in-class in enabling our customers with mission-critical insights and decision-making capabilities. The platform is designed to support all of our analytics, data science, and data applications. You will work in a highly collaborative environment building next-generation platforms and services.
Job Description
Required Skills:
    Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
    Minimum 8+ years of work experience
    Proven experience in building and managing large-scale distributed data processing systems.
    Strong experience with big data frameworks like Hadoop, Spark, Hive, Kafka, etc.
    Proficiency in data processing languages such as Python, Java, or Scala(Any one)
    Hands-on experience with cloud-based big data solutions (AWS, GCP, or Azure).
    Experience with data orchestration tools like Apache Airflow.
    Strong problem-solving skills and the ability to work in a fast-paced environment.
Key Responsibilities:
    Design and develop scalable and high-performance data pipelines for collecting, processing, and storing large datasets.
    Work with Hadoop, Spark, Kafka, and other big data technologies to manage and process structured and unstructured data.
    Optimize and troubleshoot data pipelines for speed and efficiency.
    Collaborate with data scientists and analysts to integrate data-driven insights into business decision-making processes.
    Implement data security measures and maintain data integrity across the systems.
    Analyze and improve performance and scalability of data pipelines and storage solutions.
    Monitor and maintain data workflows, ensuring consistency and reliability.
    Work with cross-functional teams, including product, engineering, and operations, to understand and implement data requirements.
    Continuously evolve the data architecture to meet the future needs of the company.
    Knowledge of containerization technologies like Docker and Kubernetes is a plus.
Interested in this position?


About 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.
For more information, please visit www.guidewire.com and follow us on Twitter: @Guidewire_PandC.
Guidewire Software, Inc. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.
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