Junior Bookkeeper needed. Qualifications and experience · Matric · Relevant tertiary qualification will books capturing of all data and reconcile Petty cash books capturing of all data and reconcile Capture submitted Processing of bank statements The post Junior Bookkeeper appeared first on freerecruit.co.za
scouting for a Senior Data Engineer. You will be responsible for developing high quality data warehouse solutions in an Azure environment using Synapse, Data Lake, Azure Data Factory, Wherescape and PowerBI The groups similar fields like Information Systems, Big Data Azure Data Engineer Certification would be advantageous ADF and Data Lake Experience in developing data warehouses and data marts Experience in Data Vault and DataOps environment Experience working with automated data warehousing solutions would be advantageous Minimum
client in the manufacturing industry is seeking a junior bookkeeper to join their team. Minimum requirements:
client in the manufacturing industry is seeking a junior bookkeeper to join their team. Minimum requirements:
Minimum requirements:
Our Client a Global Tech firm is seeking a Senior Data Engineers to join their team in Randburgon a contract fully vaccinated.
The Data Engineer skill is required to enable the data lifecycle within EDS, namely namely the ability to integrate data between the source system (golden/trusted) and the target database database (LOB), hence providing good quality data by applying the necessary framework/s and governance to whoever
develop software tools and data models to improve interpretation of mineralogical data (numerical, images) for to maintain and expand on project work from the mining/ metallurgical industry and related research agencies conference contributions. Minimum: MSc / MEng in Data Science, Computer Science, Engineering (Electronic/electrical) PhD 3- 5 years or more experience in the field of data and image (2D/3D) analysis applications using commercial/open preferably with mineralogical/metallurgical/chemical data.
develop software tools and data models to improve interpretation of mineralogical data (numerical, images) for to maintain and expand on project work from the mining/ metallurgical industry and related research agencies conference contributions. Minimum: MSc / MEng in Data Science, Computer Science, Engineering (Electronic/electrical) PhD 3- 5 years or more experience in the field of data and image (2D/3D) analysis applications using commercial/open preferably with mineralogical/metallurgical/chemical data.
EXPERIENCE: 5 years technical working experience in mining or similar industry (at least 2 years of the 5 years should include exposure and experience in mining and materials processing SHEQ) ISO Standards: ISO14001 protection vocational training offered by Chamber of Mines or an equivalent approved course and supervised legislation and performance Behavior based safety Data gathering, analysis and interpretation Continuous
EXPERIENCE: 5 years technical working experience in mining or similar industry (at least 2 years of the 5 years should include exposure and experience in mining and materials processing SHEQ) ISO Standards: ISO14001 protection vocational training offered by Chamber of Mines or an equivalent approved course and supervised legislation and performance Behavior based safety Data gathering, analysis and interpretation Continuous