Data Engineer @ Capgemini Polska Sp. z o.o
Capgemini
YOUR PROFILE
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.YOUR PROJECTYou will have an opportunity to interact with cross functional stakeholders to collaborate and build solutions. You will join a world class data engineering team with a design first attitude, focus on building quality, scalable and testable code with rigor on data engineering practices. We are looking for strong engineers whom we can teach business context within a short amount of time.WHAT YOU’LL LOVE ABOUT WORKING HERE
GET TO KNOW USCapgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska. You can also find us on TikTok! — @capgeminipl.ABOUT CAPGEMINICapgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.Apply now! ,[Design, build and maintain robust and efficient data pipelines to support various products and business needs., Design data models for efficient storage and retrieval to meet critical product and business requirements., Build scalable data pipelines (SparkSQL & Scala) leveraging Airflow scheduler/executor framework, Implement SQL based data quality checks and investigate data issues, Collaborate with cross-functional teams, including product managers, engineers, and business partners, to align on data requirements and develop scalable systems.] Requirements: BS, PhD, Spark, Kafka, Flink, HBase, Java, Scala, Python, SQL, ETL, Apache Airflow, AWS Glue, Relational database, PostgreSQL, MySQL, Redshift, BigQuery Additionally: Training budget, Sport subscription, Private healthcare, International projects, Free coffee, Bike parking, Free parking, Mobile phone, In-house trainings, Modern office, No dress code.
Polska
Thu, 10 Jul 2025 22:16:51 GMT
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