Data engineer AWS in automotive

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.

• Design, implement, and manage scalable cloud architectures in AWS.
• Develop and maintain CI/CD pipelines to automate build, test, and deployment processes.
• Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, or Pulumi.
• Ensure high availability, performance, and security of cloud environments.
• Manage and optimize Kubernetes (EKS, AKS, GKE) and containerized workloads.
• Automate operational tasks using Bash, Python, or Go scripting.
• Monitor cloud environments with Prometheus, Grafana, ELK, CloudWatch, or Datadog.
• Enforce security best practices in cloud environments, including IAM policies, network security, and compliance frameworks.
• Collaborate with development teams to optimize cloud applications and improve DevOps workflows.
• Drive cost optimization strategies and FinOps best practices.

• 4 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
• Degree in computer science, software engineering, or in engineering domains.
• 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 S.
• Strong expertise in CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or ArgoCD.
• Hands-on experience with Kubernetes and container orchestration.
• Strong understanding of data modeling, both SQL and NoSQL, with expertise in distributed systems design.
• Experience with big data technologies such as, Spark or other 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.
• Advanced knowledge of Infrastructure as Code (IaC) (Terraform, CloudFormation, or Pulumi).
• Solid understanding of cloud security, identity management, and access control.
• Experience with observability and logging tools (Prometheus, Grafana, CloudWatch, ELK, Datadog).
• Experience with configuration management tools (Ansible, Chef, Puppet).
• Fluency in English is mandatory
• Будет плюсом: Familiarity with Standard AI/ML processes & Operations is greatly valued; proficiency in additional languages advantageous

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