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

YOUR PROFILE Proven experience in Big Data or Cloud projects involving processing and visualization of large and unstructured datasets, across various phases of the SDLC. Hands-on experience with the AWS cloud, including Storage, Compute (and Serverless), Networking, and DevOps services. Solid understanding of AWS services, ideally supported by relevant certifications. Familiarity with several of the following technologies: Glue, Redshift, Lambda, Athena, S3, Snowflake, Docker, Terraform, CloudFormation, Kafka, Airflow, Spark. Basic proficiency in at least one of the following programming languages: Python, Scala, Java, or Bash. Very good command of English (German language skills would be an advantage). Nice to Have 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 Snowflake or Databricks in a production or development environment. Relevant certifications in AWS, 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. YOUR ROLE Join our Insights & Data team, a community of over 400 professionals delivering impactful, data-driven solutions. We specialize in building scalable cloud-native data architectures and pipelines that power analytics and machine learning across various industries. Our work spans the full Software Development Life Cycle (SDLC), using modern data frameworks, agile practices, and DevOps principles. WHAT YOU’LL LOVE ABOUT WORKING HERE Practical benefits: yearly financial bonus, private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and access to NAIS benefit platform. 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. 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. 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. 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 YouTube.  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 solutions for processing large-scale and unstructured datasets (Data Mesh, Data Lake, or Streaming Architectures)., Develop, optimize, and test modern DWH/Big Data solutions based on the AWS cloud platform within CI/CD environments., Improve data processing efficiency and support migrations from on-premises systems to public cloud platforms., Collaborate with data architects and analysts to deliver high-quality cloud-based data solutions., Ensure data quality, consistency, and performance across AWS services and environments., Participate in code reviews and contribute to technical improvements.] Requirements: Big data, Cloud, SDLC, AWS Cloud, Storage, Networking, DevOps, AWS, Glue, Redshift, AWS Lambda, Athena, AWS S3, Snowflake, Docker, Terraform, CloudFormation, Kafka, Airflow, Spark, Python, Scala, Java, Bash, CD pipelines, Spark Streaming, Databricks, Data engineering Additionally: Sport subscription, Training budget, Private healthcare, International projects, Free coffee, Bike parking, Mobile phone, Modern office, No dress code.