Cloud data engineer
Seeking a role as a Cloud Data Engineer focused on designing, implementing, and optimizing data infrastructure in the cloud using AWS. Skilled in services such as AWS Glue, ECS, ECR, Athena, S3, and more, with experience in distributed data processing (e.g., PySpark) and infrastructure as code (e.g., Terraform). Looking for a position that involves large-scale data solutions, automation, and performance optimization.
Let me know if you want to add or adjust any details!
Cloud Platforms: Proficient in AWS services such as S3, EC2, RDS, Lambda, Glue, Redshift, Athena, and IAM.
Data Engineering: Experience with ETL processes, data modeling, and managing data pipelines.
Distributed Computing: Skilled in PySpark and understanding of data processing at scale.
Infrastructure as Code: Expertise in Terraform for automating cloud infrastructure.
Programming Languages: Strong proficiency in Python, and experience with SQL.
DevOps & CI/CD: Familiar with GitLab CI/CD and automated deployment practices.
Database Management: Experience with both SQL and NoSQL databases.
Performance Optimization: Skills in optimizing data queries and managing resources efficiently.
Monitoring and Logging: Knowledge of cloud monitoring tools like AWS CloudWatch.
Master's Degree in Data Science
French (Mother tongue)
Spanish (Advanced)
English (Fluent)
