Senior Data Engineer (AWS)

Nasze wymagania: Experience in the role of a Data Engineer with the ability to independently deliver complex tasks. Practical experience working with cloudbased data pipelines. Knowledge of AWS Data & Analytics services. Strong proficiency in Python for ETL/ELT processing, automation, and data integration. Ability to work with large datasets, including data modeling and performance optimization. Experience with an additional cloud platform (Azure or GCP). Fluent English proficiency. O projekcie: 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 Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets. Join our Insights & Data team — a community of professionals delivering impactful Business Intelligence and Data Engineering solutions. We work on global projects, leveraging modern ETL tools, data visualization technologies, and best practices in data engineering. Our approach is rooted in collaboration, continuous learning, and delivering real business value Zakres obowiązków: Design, develop, and maintain data pipelines and ETL/ELT processes in AWS. Use AWS services such as S3, Glue, Lambda, EMR, Redshift, Athena, and other components of the AWS analytics ecosystem. Build and optimize distributed data processing workflows and large-scale data ingestion frameworks. Collaborate with solution architects and engineering teams to create scalable, reliable, and secure data solutions. Ensure data quality, consistency, governance, and compliance across cloud environments. Participate in code reviews and contribute to continuous improvement of engineering standards and practices. Create and maintain technical documentation related to data pipelines and architecture. Oferujemy: Practical benefits: permanent employment contract from the first day; 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, Cloud, IoT, Agile, AI.