Senior Data Engineer @ Capgemini Polska Sp. z o.o

Job title:

Senior Data Engineer @ Capgemini Polska Sp. z o.o

Company:

Capgemini

Job description

YOUR PROFILE

• 9+ years of relevant industry experience with a BS/Masters, or 2+ years with a PhD
• Extensive experience designing, building, and operating robust distributed data platforms (e.g., Spark, Kafka, Flink, HBase) and handling data at the petabyte scale.
• Strong knowledge of Java, Scala, or Python, and expertise with data processing technologies and query authoring (SQL).
• Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions
• Expertise with ETL schedulers such as Apache Airflow, Luigi, Oozie, AWS Glue or similar frameworks
• Solid understanding of data warehousing concepts and hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery , HBase, ClickHouse)

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 timeWHAT YOU’LL LOVE ABOUT WORKING HERE

• Enjoy hybrid working model that fits your life – after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.
• Access to over 70 training tracks with certification opportunities (e.g., GenAI, Architects, Google) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings.
• Practical benefits: private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Multisport.

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: Spark, Kafka, Flink, HBase, Java, Scala, Python, SQL, ETL, Apache Airflow, AWS, Glue, Relational database, PostgreSQL, MySQL, Redshift, BigQuery Additionally: Sport subscription, Training budget, Private healthcare, International projects, Free coffee, Bike parking, In-house trainings, Free parking, Modern office, No dress code.

Expected salary

Location

Polska

Job date

Sat, 15 Mar 2025 23:21:54 GMT

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