[Google GDC] Data Engineer / Devops

at  CAPGEMINI ENGINEERING

ABOUT OUR COMPANY

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

We are seeking a skilled Data Engineer to join our dynamic team. The ideal candidate will be responsible for developing, maintaining, and optimizing our data pipeline architecture while ensuring the availability and performance of critical data workflows. If you are passionate about data engineering, have hands-on experience with cloud platforms and big data technologies, and are a strong problem-solver, this is the role for you.

• Design, build, and maintain scalable, efficient, and reliable data pipelines to support data processing and analytics;
• Implement best practices in Big Data tools and frameworks, ensuring data integrity and performance;
• Collaborate with cross-functional teams to integrate new data sources and optimize data pipelines;
• Work with complex datasets, ensuring data quality, transformation, and storage in BigQuery;
• Troubleshoot data pipeline issues and implement long-term solutions to improve system stability;
• Write and optimize complex SQL queries for data extraction and analysis;
• Utilize Kafka for real-time data streaming and event-driven architecture;
• Implement solutions using Python for data processing and ETL workflows;
• Perform code reviews and maintain high-quality code standards.