Data Engineer | AWS

Full Time
  • Full Time
  • Lisboa
  • 2023-02-13 2023-04-14
  • Informática
  • Licenciatura
Avatar Capgemini Engineering
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Hi there

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 270,000 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

You will be part of a central data enterprise team within the data technology pillar that aims at building the best data technology solutions for the client. You will work with other engineers and product teams to create the best-in-class data platform with leading capabilities to support the business solve the most critical challenges through data solutions.

Your Role:

Loading data into the Big Data platform;
Targeted preparation of data for specific use cases and creation of data profiles;
Development of operational data pipelines;
Coordination of the service provider’s activities.

Your Profile:

More than 3 years of experience;
English (Advanced/Fluent);
Confident with the programming languages Apache Spark, Python, R, Scala, Java and Kotlin
Knowledge of Kafka, Confluent Connectors;
Knowledge of Redhat Linux;
Understanding in AWS Cloud Ingestion Solutions (AWS Glue, AWS Kinesis);
Understanding of efficient data processing and storage in AWS S3 and data banks (on-prem and cloud);
Knowledge of relevant source systems and their data types and structures;
Knowledge in the implementation of batch and real-time interfaces;
Extended expertise in the field of software engineering for the series production of productive data products (incl. testing, deployment, code quality logging, monitoring, operation);
Experience in the development of distributed systems;
Experience in Docker-based deployment and resource managers (Kubernetes);
Knowledge of GitLab or Jenkins;
Experience in CI/CD pipelines and tools (AWS Data Pipelines)
Knowledge and practical experience with Workflow Managers (Airflow);
Detailed knowledge of agile software development according to Scrum;
Automotive industry knowledge it’s a plus!

What we offer:

Our famous atmosphere:

There’s always someone happy to start the day with a cup of coffee with you – even virtually! We are a big company with a unique atmosphere – we make friendships, share important moments, and… simply like each other!

A lot of benefits:

Referral bonuses for recommending your friends to Capgemini Engineering;

Continuous training on Next*;

Offices in a great location;

Participation in international projects;

Integration in a multinational company;

Career Evolution.



Your integration on Capgemini Engineering: We designed an Onboarding plan so you can know our organization, our culture and the main initiatives. After that, you’ll join your Team Leader that will integrate you in the team and project.

Apply Now!

Capgemini Engineering is an Equal Opportunity Employer. We celebrate diversity and we do not tolerate discrimination of any kind. Whether that’s based on age, race, ethnicity, gender identity, citizenship, religion, sexual orientation, marital status, pregnancy, disability, veteran status.

Note: Our recruitment process is 100% remote.

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