Senior Data Engineer - AWS (W/M)

Company

We are Capgemini Engineering. A brand part of the Capgemini Group.

We have the mission to empower every person and every organization on the planet to achieve more. Our culture is centered on embracing a growth mindset, diversity, inclusion, a purpose of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.

You can help us to achieve our mission!

Now, we have more than 300,000 team members in nearly 50 countries, in sectors such as aeronautics, automotive, communications, energy, life sciences, software & internet, space & defense and consumer products.

Your Mission

Capgemini Engineering is constantly growing and attentive to market opportunities and in search of the best professionals to join its team. We are looking for a Senior Data Engineer to join our team. If you are looking for a new challenge and with great prospects for growth in your career, come join us.

Your Role

• Ability to connect, associate, and interpret multiple disjointed but related systems simply.
• Build algorithms and prototypes to influence engineering and product direction.
• Data Modeling for multitenant data pipeline.
• Conduct complex data analysis and report on results.
• Explore ways to enhance data quality and reliability.
• Assure Data Pipeline compliance to the Healthcare Sector.
• Prepare data for deterministic and probabilistic modeling.
• Working with engineers and management to identify improvements, propose modifications, and build integrations.

Your Profile

• At least 6 years of experience in high-volume data use cases.
• Advanced AWS Cloud Understanding.
• AWS Services Trade-off analysis (S3, EC2, RDS, MSK, EKS).
• Cloud Network and Security (VPC, KMS, Secret Manager…).
• NoSQL and SQL distributed system design and development. 
• Cloud watch, S3, Cloud Front.
• Data Modeling for Document DB (MongoDB is a plus).
• Microservice Based Deployment.
• ETLT and messaging.
• Experience with Java.
• Terraform and Jenkins are a plus.
• Algorithms, data structures, and machine learning: supervised and non-supervised.
• Detailed-oriented, strong analytical skills, and ability to combine and interpret data from many data domains.
• Strong English verbal and written communication skills, writing reports, and making presentations.

Our Offer

• Integration in a multicultural and inclusive team environment;
• Possibility to participate in international projects;
• Annual Individual Training Plan;
• Continuous training on Next;
• Referral bonuses for recommending your friends to Capgemini Engineering;
• Offices in great locations;
• Career evolution.