Senior GCP Data Engineer @

2 days ago

Gdańsk Wrocław Poznań, Czech Republic Capgemini Polska Sp. z o.o. Full time
YOUR PROFILE
  • you have at least 3 years experience in Big Data or Cloud projects in the areas of processing and visualization of large and unstructured datasets (in different phases of Software Development Life Cycle)
  • you have practical knowledge of GCP in Storage, Compute (+Serverless), Networking and DevOps areas supported by commercial project work experience
  • you are familiar with several of the following services: BigQuery, Dataflow, GKE, Cloud Bigtable, Pub/Sub, Dataproc, Google Data Studio
  • you have good knowledge of one of programming languages: Scala (preferred), Python or Java
  • you are organized, independent, willing to share the knowledge
  • you have very good command of English. 

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

YOUR TEAM

Insights & Data delivers state-of-the-art Data solutions. Our expertise primarily lies in Cloud & Big Data engineering, where we develop robust systems capable of processing extensive and complex datasets, utilizing specialized Cloud Data services across platforms like AWS, Azure, and GCP. We oversee the entire Software Development Life Cycle (SDLC) of these solutions, which involves not only leveraging data processing tools such as ETL but also extensive programming in languages like Python, Scala, or Java, coupled with the adoption of DevOps tools and best practices. The processed data is then made accessible to downstream systems through APIs, outbound interfaces, or is visualized via comprehensive reports and dashboards. Additionally, within our AI Center of Excellence, we undertake Data Science and Machine Learning projects with a focus on cutting-edge areas such as Generative AI, Natural Language Processing (NLP), Anomaly Detection, and Computer Vision. 



WHAT YOU'LL LOVE ABOUT WORKING HERE
  • Practical benefits: permanent employment contract from the first day; yearly financial bonus; hybrid, flexible working model; equipment package for home office; private medical care  with Medicover; life insurance; Capgemini Helpline; NAIS benefit platform;   
  • Access to 70+ training tracks with certification opportunities; platform with free access to Pluralsight, TED Talks, Coursera, Udemy Business and SAP Learning HUB  
  • 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.  

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

,[You will design and implement solutions to process large and unstructured datasets (Data Lake Architecture, Streaming Architecture), You will implement, optimize and test modern DWH/Big Data solutions based on Google Cloud Platform and Continuous Delivery/Continuous Integration environment, You will be responsible for data processing efficiency improvement and for migrations from on-prem to public cloud platforms, You will be building and supervising an internal GCP development and training program as well as leading workshops and mentoring sessions. ] Requirements: Cloud, Data engineering, GCP, DevOps, Big data, Google Cloud Platform, Storage, Compute (+ Serverless), Networking Additionally: Private healthcare, Home office, Benefit platform, Certificates, Flexible working hours, Pluralsight, Life insurance, Udemy for business, In-house trainings, Free parking, Modern office.

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