Required skills
Languages: French
Job description
We are looking for a Senior Data Engineer to join a Data team and work on an AWS platform handling large data volumes. You will participate in the design, optimization, and industrialization of Data pipelines with strong challenges in performance, quality, and scalability.
Project overview
We are looking for a Senior Data Engineer to strengthen a Data team and work on an AWS platform handling large data volumes.
You will participate in the design, optimization, and industrialization of Data pipelines, with strong challenges in performance, quality, and scalability.
Main missions
Technical environment
Main stack:
Complementary skills:
Profile sought
Work environment
You will join a Data team operating in a modern AWS Cloud environment, dealing with large-scale data processing issues. You will collaborate with Data Engineers, Data Scientists, and business teams to design reliable, performant, and industrialized solutions. The environment fosters autonomy, technical innovation, good development practices, and continuous improvement.
- Design, develop, and maintain Data pipelines on AWS.
- Develop and optimize processing in Python, SQL, and PySpark.
- Orchestrate workflows with Airflow / MWAA.
- Optimize Spark processing on large volumes.
- Design and evolve data models within the Data Lake.
- Ensure data quality, reliability, and performance.
- Implement monitoring and optimize processing costs.
- Collaborate with Data Science and business teams.
- Leverage generative and agentic AI tools to improve development practices.
- AWS: S3, Glue, Athena, EMR, MWAA, ECS, Lambda
- Python: Pandas, PySpark, AWS Wrangler
- Advanced SQL
- Apache Spark
- Apache Airflow / MWAA
- Parquet, Iceberg, Delta Lake
- Terraform
- IAM / Cloud Security
- Data Lake / Data Modeling
- Generative and agentic AI
- Minimum 6 years of experience in Data Engineering.
- Excellent command of Python and good development practices.
- Solid expertise in the AWS Data ecosystem.
- Very good level in advanced SQL and query optimization.
- Proven experience in Spark / PySpark on large volumes.
- Mastery of pipeline orchestration with Airflow / MWAA.
- Good knowledge of Parquet, Iceberg, or Delta Lake formats.
- Experience in industrialization, monitoring, and processing optimization.
- Autonomy, rigor, and strong technical aptitude.
Project details
- Start: ASAP
- Duration: 3 mois renouvelable
- Remote: hybrid
- Location: Île-de-France, France, FR
- Rate: 50-78 EUR/h
- Languages: French
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