Key skills
AirflowAWSCloudETLFluxHadoopJavaKafkaNoSQLPythonScalaSparkSQLAIMLOpsELTData LakeGitAgileCI/CDCommunication
About this role
Role Overview
- Design data architectures (Data Lake, Data Warehouse)
- Develop ETL/ELT pipelines (ingestion, transformation, loading)
- Clean, structure and ensure the reliability of data
- Industrialize data solutions (CI/CD, MLOps)
- Gather business requirements
- Propose data solutions tailored to use cases
Requirements
- Master's degree (Bac+5) in Data, AI, Mathematics, or a related field
- Strong proficiency in SQL and good command of Python (or Scala/Java)
- Development and optimization of data pipelines (ETL/ELT)
- Data design and modeling
- Management of data ingestion and transformation flows
- Knowledge of Big Data technologies (Spark, Kafka, Hadoop)
- Experience with cloud environments, particularly AWS
- Proficiency with relational and NoSQL databases
- API development and integration of data sources
- Use of DevOps/DataOps tools (Git, CI/CD, Airflow or equivalent)
Tech Stack
- Airflow
- AWS
- Cloud
- ETL
- Flux
- Hadoop
- Java
- Kafka
- NoSQL
- Python
- Scala
- Spark
- SQL
Benefits
- Autonomy and ability to take initiative
- Strong communication skills and ability to explain technical concepts
- Team spirit and service-oriented mindset
- Adaptability in constantly evolving technical environments
- Comfortable with Agile and DevOps working methods