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Cloud Data Engineer
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- at least 3 years of experience in Big Data or Cloud projects in the areas of processing and visualization of large and/or unstructured datasets (including at least 1 year of hands-on Snowflake experience);
- understanding of Snowflake's pricing model and cost optimization strategies for managing resources efficiently;
- experience in designing and implementing data transformation pipelines natively with Snowflake or Service Partners;
- familiarity with Snowflake's security model;
- practical knowledge of at least one Public Cloud platform in Storage, Compute (+Serverless), Networking and DevOps area supported by commercial project work experience;
- at least basic knowledge of SQL and one of programming languages: Python/Scala/Java/bash;
- 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 TEAMInsights & 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: 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.
- Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home thanks to HO package (including laptop, monitor, and chair). Ask your recruiter about the details.
- Early support thanks to Buddy Programs: learn in the flow of work alongside our experts who collaborate on top-tier solutions for global enterprises, including 145 Fortune 500 companies.
- Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) 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.
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 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.
,[design, develop, and maintain Snowflake data pipelines to support various business functions;, collaborate with cross-functional teams to understand data requirements and implement scalable solutions;, optimize data models and schemas for performance and efficiency;, ensure data integrity, quality, and security throughout the data lifecycle;, implement monitoring and alerting systems to proactively identify and address issues;, plan and execute migration from on-prem data warehouses to Snowflake;, develop AI, ML and Generative AI solution;, stay updated on Snowflake best practices and emerging technologies to drive continuous improvement.] Requirements: Big Data, Cloud, Snowflake, Security, Cloud platform, Storage, Networking, DevOps, SQL, Python, Scala, Java, Bash Additionally: Training budget, Sport subscription, Private healthcare, International projects, Free coffee, Bike parking, Shower, Free parking, Mobile phone, In-house trainings, Modern office, No dress code.