Skills highlighted in blue are preferred key skills
Implement transformations, business rules and reusable data workflows. Manage scheduling, dependencies, retries, logging and pipeline monitoring. Diagnose failed jobs and data-quality issues and implement lasting fixes. Improve performance through query tuning, partitioning and efficient compute usage. Work with analysts and scientists to shape useful curated datasets. Bring strong sql and practical cloud or distributed-data engineering experience. Design dependable pipelines from operational sources into analytical platforms.
Opportunity for a Cloud Data Integration Developer to contribute to a growing technology, analytics, enterprise applications, or sales function.
Client Company