As an AWS Data Engineer , you build the foundations for data-driven decision-making. You design, develop, and maintain scalable data platforms, integrate multiple data sources, and ensure reliable and efficient data infrastructure across cloud environments, with a strong focus on AWS .
- Designing, building, and maintaining data pipelines and ETL/ELT processes.
- Integrating structured and unstructured data sources from various systems.
- Optimizing data storage and processing solutions, primarily in AWS cloud environments .
- Collaborating with Data Scientists, BI specialists, analysts, and business stakeholders.
- Ensuring data quality, security, governance, and compliance standards.
- Documenting data flows, architectures, and technical solutions.
- Contributing to the continuous improvement of data engineering best practices and cloud-native solutions.
- Minimum 5 years of experience as a Data Engineer or in a similar role.
- Strong hands-on experience with AWS data services such as S3, Glue, Redshift, Lambda, EMR, Athena, or related technologies.
- Experience with tools and technologies such as SQL, Python, Spark, Airflow, and dbt .
- Solid understanding of data warehousing, data lakes, and streaming technologies.
- Experience designing and maintaining scalable cloud-based data platforms.
- Knowledge of Azure is considered a plus.
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management abilities.
- Professional proficiency in French and English is mandatory.