end-to-end technical aspects of all data pipelines Support ETL processes including, data ingestion, transformation Document and effectively communicate data engineering processes and solutions. Bachelor's degree or higher Performance Computing, Data Warehousing, Big Data Processing Strong Experience working with various relational Hadoop, Kafka, Nifi or Spark or Cloud-based big data processing environments like Amazon Redshift, Google BigQuery
fields Excellent quantitative analysis and data processing skills, proficient in Excel and financial analysis
Warehouses across SSA. Evaluate and analyse data, processes and material flow related to existing operations Warehouses across SSA. Evaluate and analyse data, processes and material flow related to existing operations
Warehouses across SSA. Evaluate and analyse data, processes and material flow related to existing operations Warehouses across SSA. Evaluate and analyse data, processes and material flow related to existing operations
of processes. Set up and maintain automated data processes. Produce and track key performance reporting
agreements, indemnity forms, POPIA consent, and data processing agreements) and provide timeous feedback to
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followed accurately and securely.
Manage data capture processes, including goods received, goods returned
Leverage technology to contribute to data-driven decision making processes Analyse HR Data to deliver insight
candidates contacted due to volume. Privacy: Data processed as per Privacy Policy. By applying, you agree