Mid Data Engineer

Mid Data Engineer

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world's most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

YOUR ROLE

• Capability of assuming leadership initiatives/responsibilities;
• Design, develop, and maintain scalable and efficient data-centric applications and systems;
• Collaborate with cross-functional teams to implement new features and enhancements in cloud environments like AWS or GCP;
• Architect, build, and optimize data pipelines ensuring reliability, scalability, and compliance with industry standards;
• Conduct thorough data analysis, modeling, and interpretation to drive insights and support decision-making processes;
• Create and maintain ELT/ETL processes, focusing on data quality, reliability, and efficiency;
• Support ongoing AI & Analytics operations and systems, interpret trends;
• Communicate findings, proposals, and technical solutions effectively to diverse stakeholders;
• Team work in a data-driven, solution oriented and critical mind-set is greatly encouraged and valued.

YOUR PROFILE

• 4 or more years of experience in data engineering roles with expertise in building and maintaining data pipelines, systems, and applications;
• Proficient in data warehouse design, implementation, and optimization, leveraging ETL/ELT processes, schema modeling, and ensuring efficient data retrieval for analytical purposes;
• Proficient in Python and one additional programming/querying language used for data engineering Java, SQL, NoSQLs or similar;
• Hands-on experience with cloud platforms like AWS or GCP or Azure;
• Knowledge and Hands-on experience either with cloud platforms (AWS, GCP, or Azure), and/or alternatively in big data technologies such as, Spark or other;
• Strong understanding of data modeling, both SQL and NoSQL, with expertise in distributed systems design;
• Experience with distributed processing technologies and familiarity with tools like Airflow for workflow orchestration;
• Knowledge of data governance, metadata management, and best practices in ensuring data quality and compliance;
• Excellent communication skills and the ability to collaborate effectively in cross-functional teams;
• Analytical mindset, attention to detail, and problem-solving skills to address complex data challenges;
• Familiarity with Standard AI/ML processes & Operations is greatly valued;
• General knowledge in Containerization (Ex: Dockers);
• General knowledge in development best practices (CI/CD, GIT, Pipeline development, etc);
• Degree in computer science, software engineering, or in engineering domains;
• Fluency in English is mandatory, and proficiency in additional languages advantageous.

What You'll Love About Working Here

• Join a multicultural and inclusive team environment.
• Enjoy a supportive atmosphere promoting work-life balance.
• Engage in exciting national and international projects.
• Hybrid work.
• 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.
• Training and certifications programs.
• Health and life insurance.
• Referral program with bonuses for talent recommendations.
• Great office locations.

About Capgemini
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.

Apply now