Job Description
• Hands-on experience creating automated data pipelines using modern technology stacks for batch ETL, data streaming, or change data capture, and for data processing to load advanced analytics data repositories
• Experience in designing data lake storage structures, data acquisition, transformation, and distribution processing
• Proficient in designing and implementing data integration processes in a large distributed environment using cloud services e.g. Azure Data Factory, Data Catalog, Databricks, Stream Analytics
• Advanced experience in SQL programming
• Proficient in programming languages (e.g. Python, Java) and REST APIs (e.g. Azure API Management, MuleSoft) to process data
• Experience in designing data lake storage structures, data acquisition, transformation, and distribution processing
• Proficient in designing and implementing data integration processes in a large distributed environment using cloud services e.g. Azure Data Factory, Data Catalog, Databricks, Stream Analytics
• Advanced experience in SQL programming
• Proficient in programming languages (e.g. Python, Java) and REST APIs (e.g. Azure API Management, MuleSoft) to process data
Apply for this Position
Ready to join Anicalls (Pty) Ltd? Click the button below to submit your application.
Submit Application