GCP + Data Engineer

4 weeks ago

Bengaluru India Capgemini Full time

Job Description At Sogeti, we believe the best is inside every one of us. Whether you are early in your career or at the top of your game, we'll encourage you to fulfill your potential to be better. Through our shared passion for technology, our entrepreneurial culture , and our focus on continuous learning, we'll provide everything you need to do your best work and become the best you can be. Your Role - Design and develop data pipelines using Hadoop ecosystem and GCP tools. - Implement Spark/Scala/PySpark jobs for data transformation and aggregation. - Ensure code quality through peer reviews and unit testing. - Collaborate with Business Analysts and manage smooth production deployments. - Strong experience in Hadoop, Spark, Hive, CI/CD tools, and preferred GCP certification. Your profile - Experienced Data Engineer with 4+ years in designing and developing data pipelines using Hadoop ecosystem, Spark, Scala, and PySpark. - Skilled in data transformation, aggregation, and distributed processing, with strong knowledge of Hive, Impala, and data warehousing methodologies. - Proficient in CI/CD tools (Git, Jenkins), Agile/DevOps practices, and Cloudera distribution, ensuring high-quality and timely delivery. - Hands-on experience with Kafka, Spark Streaming, and job scheduling tools like Autosys adept at troubleshooting and production deployments. - Preferred expertise in GCP (Professional Data Engineer certification is a plus) and familiarity with Python/Java for pipeline development. Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.

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