Data Engineer (AWS)

Introduction

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem

Role

Your Role

As a Data Engineer, you will contribute to the development, maintenance, and evolution of a modern cloud-based data platform processing large volumes of data from connected services. You will design and implement ETL/ELT pipelines, develop data transformations, ensure data quality, and optimize data workflows. You will work closely with technical and business stakeholders to deliver reliable, scalable, and high-performance data solutions while participating in cloud migration and continuous improvement initiatives. 

Profile

Your Profile

Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related field. You have at least 2 years of experience in Data Engineering, Data Warehousing, or Business Intelligence projects. You are analytical, proactive, and able to work effectively in an international environment. Strong communication skills and the ability to understand business requirements and translate them into technical solutions are essential

Skills

Mandatory Skills

•              Minimum 2+ years of experience in Data Engineering or ETL development.

•              Strong SQL and database knowledge.

•              Experience with Python development.

•              Good understanding of Data Warehouse concepts, data modeling, and ETL/ELT processes.

•              Experience with AWS services such as S3, Glue, Lambda, and Redshift.

•              Knowledge of cloud-based data architectures.

•              Experience with Git and CI/CD practices.

•              Familiarity with Linux environments.

•              Strong problem-solving and troubleshooting skills.

•              Professional English communication skills (written and spoken).

Offer

What You'll Love About Working Here

•              Join a multicultural and inclusive team environment.

•              Enjoy a supportive atmosphere promoting work-life balance.

•              Hybrid work (depends on the Project)

•              Your career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities.

•              Access valuable training and certifications in cutting-edge technologies.

•              Engage in exciting national and international projects.

•              Referral program with bonuses for talent recommendations.