Global Data Engineer
Billericay, England, United Kingdom
Hybrid / WFH Options
Hybrid / WFH Options
epay, a Euronet Worldwide Company
capable of the following: Recommended: 2+ years of professional experience in a data engineering or similar role. Proficiency in Python , including use of libraries for data processing (e.g., pandas, pySpark). Experience working with Azure-based data services , particularly Azure Databricks , Data Factory, and Blob Storage. Demonstrable knowledge of data pipeline orchestration and optimisation. Understanding of SQL for data More ❯
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