Senior Azure Data Engineer - Scalable Pipelines & DevOps
Summary
Designs and builds scalable Azure-based ETL/ELT pipelines using Data Factory, Databricks, and Python to process and optimize large-scale data workflows.
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You will utilize your extensive experience in Azure Data Factory, Databricks, and Python to optimize data workflows and ensure data quality.
The ideal candidate has at least 6-8 years' experience in Data Engineering and is adept at translating business requirements into robust data engineering solutions. xgiwjmb
The role offers exposure to large-scale transformations within the Azure ecosystem.