Jesta I.S.

Data Engineer

• Architect and build scalable, secure, multi-tenant cloud data pipelines in AWS and Azure
• Implement robust ETL/ELT pipelines and APIs to move and access data across Oracle, AWS, and Snowflake
• Leverage AWS services (Glue, Lambda, S3, RDS, EventBridge), AWS Batch, Azure components, Airflow, and Kedro
• Automate infrastructure provisioning using Terraform/OpenTofu and manage CI/CD pipelines (Jenkins, GitHub Actions, ArgoCD)
• Build infrastructure to support AI/ML workflows (training, validation, versioning) and integrate MLflow
• Enable scalable model deployment in secure environments (containerized or cloud-native) and support full MLOps lifecycle
• Deploy and manage React or Python-based ML applications with secure user access (private networking, MFA, RBAC, encryption)
• Design end-to-end automation, integrate automated testing/scanning/rollback into CI/CD, and maintain monitoring/logging
• Build portable components for cross-platform/multi-cloud deployment and support ERP/retail analytics use cases
• Collaborate closely with data scientists, product managers, and architects to deliver robust solutions

Senior Cloud Data Engineer – MLOps / Ingénieur·e senior en données Cloud – MLOps