Cloud Data Engineer
il y a 3 semaines
Yseop, a pioneer in Generative AI, is seeking a skilled Cloud-Based Data Engineer to design, develop, and enhance data ingestion, annotation, and service pipelines in a cloud environment, primarily on AWS.
Key Responsibilities- Architect and Develop Cloud Infrastructure: Design, build, and maintain scalable, cloud-native data infrastructures using AWS to handle large datasets.
- Data Ingestion and Processing Pipelines: Create and optimize pipelines for efficient ingestion, transformation, and storage of structured, semi-structured, and unstructured data.
- Data Security and Compliance: Ensure that data pipelines and models adhere to the highest security standards, including implementing best practices for encryption, access controls, and monitoring against unauthorized access or data injection risks.
- Collaborative Teamwork: Work collaboratively with cross-functional teams to ensure the data infrastructure supports a diverse range of models and workflows.
- Support Data Annotation and Active Learning: Implement tools and systems to support data annotation, semi-supervised learning, and active learning workflows, ensuring scalability and user-friendly access to large datasets.
- Proficient in Python for building cloud-native data pipelines and workflows.
- Familiarity with Java or Scala.
- Experience with data processing tools like AWS Glue and EMR, as well as orchestration with Kubernetes, containerization with Docker, and Infrastructure as Code tooling.
At Yseop, we are committed to supporting companies through digital transformation. If you are a cloud-based data engineering expert with extensive AWS experience, we encourage you to apply for this exciting opportunity.
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