Data Engineer with Pyspark @ Capgemini Polska Sp. z o.o.
(práce v Polsku)

Data Engineer with Pyspark @ Capgemini Polska Sp. z o.o.

Polsko

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  YOUR PROFILE

  
  
  • You have hands-on experience in data engineering and can independently handle moderately complex tasks.
  • You are proficient in PySpark and understand distributed data processing.
  • You are comfortable working with Python for data transformation and automation.
  • You have experience with relational and/or NoSQL databases.
  • You communicate clearly and effectively in English.
  
  

  Nice to Have

  • Familiarity with cloud platforms (AWS, Azure, or GCP).
  • Solid SQL skills and understanding of data modeling.
  • Experience with orchestration tools (e.g., Airflow, Prefect).
  • Exposure to CI/CD pipelines and DevOps practices.
  • Knowledge of streaming technologies (e.g., Kafka, Spark Streaming).
  • Experience working with Databricks in a production or development environment.
  • Relevant certifications in data engineering or big data technologies.
  
  

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

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  WHAT YOU’LL LOVE ABOUT WORKING HERE

  
  •    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.
  •    Cutting-Edge Technology: Position yourself at the forefront of IT innovation, working with the latest technologies and platforms. Capgemini partners with top global enterprises, including 145 Fortune 500 companies.
  •    Community Hub that will allow you to choose from over 20 professional communities that gather people interested in, among others: Salesforce, Java, Could, IoT, Agile, AI
  •    Well-being culture: medical care with Medicover, private life insurance, and Multisport card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Lets talk about wellbeing" which you can listen to on Spotify.
  

  GET TO KNOW US

  
  Capgemini 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 CAPGEMINI

  
  

  Capgemini 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 and implement robust data pipelines using PySpark., Process and transform large datasets efficiently in distributed environments., Collaborate with data architects and analysts to deliver high-quality data solutions., Ensure data quality, consistency, and performance across systems., Participate in code reviews and contribute to technical improvements.] Requirements: PySpark, Python, NoSQL, Cloud platform, Azure, GCP, SQL, Data modeling, Airflow, CD pipelines, DevOps, Kafka, Spark Streaming, Databricks, Big data 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.

Kategorie

data

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