[22/10/2025] Senior Data Engineer

1 week ago

Bengaluru, India Guidewire Software Full time

Responsibilities: - Design and Development: - Architect, design, and develop robust, scalable, and efficient data pipelines. - Design and manage platform solutions to support data engineering needs to ensure seamless integration and performance. - Write clean, efficient, and maintainable code. - Leadership and Collaboration: - Lead and mentor a team of Data engineers, providing technical guidance and fostering a collaborative environment. - Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions that meet business needs. - Drive the adoption of best practices in software development lifecycle (SDLC), including code reviews, testing, and continuous integration/continuous deployment (CI/CD). - 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. Qualifications: - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. - 8+ years of experience in software engineering with a focus on data engineering and building data platform - Strong programming experience using Python or Java. - Proven experience with Big data technologies like Apache Spark, Amazon EMR, Apache Iceberg, Amazon Redshift, etc or Similar technologies - Proven experience in RDBMS(Postgres, MySql, etc) and NoSQL(MongoDB, DynamoDB, etc) database - Proficient in AWS cloud services (e.g., Lambda, S3, Athena, Glue) or comparable cloud technologies. - Demonstrated leadership experience, with a track record of leading and mentoring engineering teams. - In-depth understanding of SDLC best practices, including Agile methodologies, code reviews, and 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.

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