We are seeking a Senior DataOps/Cloud Data Engineer to design, build, and optimize high-performance data pipelines within a sophisticated cloud environment. This role is focused on the end-to-end automation of ETL/ELT processes, utilizing modern platforms like Databricks, Unity Catalog, and Azure Data Factory. You will be responsible for the migration and integration of very large datasets (VLD) across diverse platforms, ensuring data security, scalability, and optimal performance for both OLAP and OLTP environments.

Rate: $533.22-$569.16/hr

Advantages
Cutting-Edge Tech: Hands-on work with Databricks, Microsoft Fabric, and PySpark in an enterprise setting.

Short-Term High Impact: A focused 4-month contract with a strong potential for extension based on performance.

Architectural Influence: Lead the implementation of modern Data Lakehouse and Medallion architectures.

DataOps Leadership: Drive best practices in CI/CD and automation ...