About us

Are you looking for a team and experts who can help you concretely implement Data Centric solutions in production and at scale? To set up pipelines to process your data and implement your models? To move from a DataLab to putting your Data projects into production? To enable your business applications and back offices to consume data from your Datalake in real time and securely? To create a Data Factory that integrates with your IS through API?

Our Data Engineering and Development team has been experienced, for more than 3 years and dozens of projects in production, in designing and architecting Data solutions that meet your needs and that “work”. Our experts are the designers and developers of your data pipelines.

They are also the architects of your solutions so that they are production ready and on scale. They have the experience and expertise to design data processing and working environments, supporting our clients in their choice of the most suitable tools and methods. They implement the data supply and transformation pipelines. They also design the solution so that they can deliver data to the entire company's IT system. Finally, they are in charge of implementing Machine Learning and AI models in an industrialized manner and so that they can be easily updated in a CI/CD logic.

Our Data Engineering team also includes developers (Java, .Net), which allows this team to benefit from all the methods and tools of software engineering and the world of DevOps, applied to the world of data (Craftsmanship, CI/CD, Microservices/API, Agility, etc.).

In the Data Engineering team, we are fluent in Spark (in all its languages), Python, Scala or Java. Data Engineers and developers are experienced in Big Data environments – Hadoop – Cloudera, DataBricks, Hive, Spark, Kafka or ElasticSearch (Beats, Logstash, Kibana, etc.) to name a few. They use all the tools that improve the quality and maintainability of software solutions: SecDevOps & Infra As Code (Git, Jenkins, Ansible, CloudFormation, Terraform, Docker, Kubernetes, etc.). They regularly work on the Cloud (AWS/GCP/Azure) and usually work in Agile methodology.

The professions that we meet in this team: Data Solution Architect, Data Engineer, MLOps Engineer, Data Developer