Data Engineer (F/H)

## Responsibilities - Intervene on data platforms of clients to develop new data pipelines (ingestion, processing, exposure). - Work in collaboration with business and data scientists to support the industrialization of their work (testing, continuous integration, scalability, craftsmanship, observability, etc.). - Deploy cloud infrastructures full infra-as-code (Terraform, CloudFormation). - Contribute to the implementation and promotion of good DataOps practices (Data Quality, CI/CD, Monitoring, Documentation). - Participate in internal and external community data events (BBL, webinars, datapéros, meetups, tech salons...). - Capitalize on your missions and experiences through blog articles, REX, and internal training. - Support and develop the skills of junior profiles within the Data practice. ## Requirements - Bachelor's degree or higher in a relevant field. - Significant experience in Data Engineering. - Strong mastery of cloud environments (AWS, GCP, or Azure). - Experience setting up complex pipelines with dbt. - Familiarity with DataOps and Infrastructure-as-Code concepts (Terraform, CloudFormation). - Mastery of a distributed computing framework (Spark, Databricks, Flink) and SQL. - Good knowledge of data storage systems (SQL or NoSQL), with experience on Snowflake or Delta Lake as an asset. - Familiarity with data streaming frameworks (Kafka, Kinesis, Debezium). - Commitment to producing quality code, sharing best practices, and evolving in an agile and collaborative environment. ## Nice to Have - Passion for technology and continuous learning. - Curiosity and willingness to learn and share. - Desire to challenge oneself and grow in a stimulating and collaborative environment. ## Benefits - Capitalization of skills: Regular conferences and internal training with bonuses. - Continuous learning: 5 days of destaffing per year for learning new technologies or deepening skills. - Recruitment on profile: A recruitment adapted to your career path to ensure your fulfillment. - BlackBelt program: A personalized career development path including missions, training, and certifications.