Develop robust, scalable, and efficient data pipelines.
Manage platform solutions to support data engineering needs to ensure seamless integration and performance.
Write clean, efficient, and maintainable code.
Data Management and Optimization:
Ensure data quality, integrity, and security across all data pipelines.
Optimize data processing workflows for performance and cost-efficiency.
Develop and maintain comprehensive documentation for data pipelines and related processes.
Innovation and Continuous Improvement:
Stay current with emerging technologies and industry trends in big data and cloud computing.
Propose and implement innovative solutions to improve data processing and analytics capabilities.
Continuously evaluate and improve existing data infrastructure and processes.
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, Engineering, or a related field.
2+ years of experience in software engineering with a focus on data engineering and building data platform
Strong programming experience using Python or Java.
Experience of the Big data technologies like Apache Spark, Amazon EMR, Apache Iceberg, Amazon Redshift, etc or Similar technologies
Experience in RDBMS(Postgres, MySql, etc) and NoSQL(MongoDB, DynamoDB, etc) database
Experience in AWS cloud services (e.g., Lambda, S3, Athena, Glue) or comparable cloud technologies.
Experience in CI/CD.
Experience working in Event driven and Serverless Architecture
Experience with platform solutions and containerization technologies (e.g., Docker, Kubernetes).
Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
Strong communication skills, both written and verbal.
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.
