agileDSS Benefits Overview

Designs and maintains dbt transformation models, writes complex SQL, orchestrates pipelines with Airflow, and implements data quality, governance, integration, and modeling practices. The role supports data cleansing, production deployment, CI/CD, business acceptance testing, and agentic AI integration. It also provides technical guidance, documents solutions, analyzes requirements, and collaborates with business and technology stakeholders. The position requires strong data engineering experience, with Snowflake, cloud platforms, and orchestration tools as advantages.

Concevoir, développer et industrialiser des plateformes de données modernes sur AWS. Le rôle couvre l’ingestion, la transformation, l’orchestration, les architectures Data Lake, Data Warehouse et Lakehouse, ainsi que l’optimisation des performances, coûts, qualité, sécurité et gouvernance. La personne collaborera avec des équipes pluridisciplinaires, participera aux pratiques DataOps, DevOps et CI/CD, contribuera aux choix d’architecture et accompagnera les membres juniors. Cinq ans d’expérience minimum en Data Engineering, Big Data ou intégration de données sont requis.

We are seeking a Big Data Snowflake Developer to collaborate on data solutions, implement business rules, and maintain data integration pipelines using AWS Glue, while ensuring data integrity and participating in production deployment.