Buyer with Technical Experience required Sourcing and Procurement of Techincal items for export as per and meet deadlines Compile quotes on Excel Load data on Pastel Sage One Excel proficient, work Formuals
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
Our Client a Global Tech firm is seeking a Senior Data Engineers to join their team in Randburgon a contract fulltime onsite requirement and candidates are required to be fully vaccinated.
The Data Engineer skill skill is required to enable the data lifecycle within EDS, namely the ability to integrate data between good quality data by applying the necessary framework/s and governance to whoever may require it (BI and /p>
Balance Job Description requirements Bookkeeping Bank Cash books capturing of all data and reconcile Petty cash books capturing of all data and reconcile Capture & Calculate Tax Invoices Capture of Suppliers Month End Journals Recons of accounts Banking Capture Payments Create & maintain payment accounts
develop software tools and data models to improve interpretation of mineralogical data (numerical, images) for expertise and stakeholders (internal and external) are required at an advanced level. This will involve algorithm/software administration requirements of Mintek and MNL with respect to labour and machine time capture, business governance documentation of work and procedures is appropriately captured and produce advanced professional level reports conference contributions. Minimum: MSc / MEng in Data Science, Computer Science, Engineering (Electronic/electrical)
develop software tools and data models to improve interpretation of mineralogical data (numerical, images) for expertise and stakeholders (internal and external) are required at an advanced level. This will involve algorithm/software administration requirements of Mintek and MNL with respect to labour and machine time capture, business governance documentation of work and procedures is appropriately captured and produce advanced professional level reports conference contributions. Minimum: MSc / MEng in Data Science, Computer Science, Engineering (Electronic/electrical)
Minimum requirements: 2 Years Fund Administration or Unit Trust experience Matric Accurate capturing and centre Act Basic understanding of the ETF product requirements Able to work under pressure Extended hours depending
Minimum requirements: 2 Years Fund Administration or Unit Trust experience Matric Accurate capturing and centre Act Basic understanding of the ETF product requirements Able to work under pressure Extended hours depending
with excellent service. It is imperative that accurate information is provided to the customer and that queries.
general and specific queries. It is imperative that accurate information is provided to the customer and that queries.