system for accuracy. Report discrepancies to the Warehouse Manager immediately. Stock Movement Accuracy: accuracy of all stock movements between the central warehouse and the Trade Centre. Ensure all transfers are stock levels in the Trade Centre from the central warehouse according to bin set levels. Monitor stock levels attention to detail. Previous experience in a warehouse, retail, logistics environment is preferred. Strong Environment: Warehouse and Trade Centre environment may involve varying temperatures. The post Warehouse Assistant
COMMENCEMENT: As soon as possible ROLE: Responsible for CA Data Management of central sector and all plants and guidelines Consult users how to store the CA data and permanent data archives as well as run reports Assign (Windows only) Create CA data structure as per GROUP guidelines Rearrange CA data structure as per project obsolete CA data using web application CA Cleanup Tool (Unix only) Backup and restore CA data Allow users work on weekends (changes) Serve as contact for data management related questions in the cloud Serve
as possible ROLE: Data Engineers are responsible for building and maintaining Big Data Pipelines using using GROUP Data Platforms. Data Engineers are custodians of data and must ensure that data is shared in line Boto3 ETL Docker Linux / Unix Big Data Powershell / Bash GROUP Cloud Data Hub (CDH) GROUP CDEC Blueprint CloudFormation Business Intelligence (BI) Experience Technical data modelling and schema design (“not drag Boto3 ETL Docker Linux / Unix Big Data Powershell / Bash GROUP Cloud Data Hub (CDH) GROUP CDEC Blueprint
Our client requires the services of a Data Scientist/Engineer (Entry) – Midrand/Menlyn/Rosslyn/Home Office Glue. Operating System: Windows, Linux and Unix. BI/DWH/ETL Tools: Informatica 9.5/9.1/8.6, Tableau,
and managing applications on Kubernetes clusters Data modelling and Database technologies (relational process knowledge and work experience Understanding of BI Tools will be an advantage Assisting with the business
Our client requires the services of a Data Engineer/Scientist (Senior) - Midrand/Menlyn/Rosslyn/Home as possible ROLE: Data Engineers are responsible for building and maintaining Big Data Pipelines using using GROUP Data Platforms. Data Engineers are custodians of data and must ensure that data is shared in line Boto3 ETL Docker Linux / Unix Big Data Powershell / Bash GROUP Cloud Data Hub (CDH) GROUP CDEC Blueprint CloudFormation Business Intelligence (BI) Experience Technical data modelling and schema design (“not drag
Our client requires the services of a Data Engineer/Scientist ( Advanced ) - Midrand/Menlyn/Rosslyn/Home design and develop data sources (activate standard data sources, enhance existing data sources and create create custom data sources). Technically Develop Customer Specific Solutions, with adaptability, portability Sales, Warehouse and Extended Warehouse Management SAP Analytics Cloud Eclipse SAP BW 7.5 Data Modelling
equipment with timekeeping of drivers Warehouse Management Assist warehouse supervisor to ensure demands are Valid Driver's License Tertiary qualification in Warehouse Management Certificates in Supply Chain Management a similar designation Proven experience with Warehouse Management and Inventory Control with extensive extensive logistic management Knowledge of relevant warehouse regulations and ISO requirements Market Related
targets and tracking and analysis. Collaborate with BI data team to ensure that dashboards are properly rolled rolled out in Active Collections and that data and reporting are relevant and fit for purpose. Contribute collections and recovery results by integrating models and data-driven approaches into operational processes. Ensure
This may involve coordinating with suppliers or warehouse personnel to restock inventory in a timely manner involve adjusting product placement based on sales data and customer feedback. Promotions and Pricing: Collaborate support to store staff. Sales Analysis: Analyze sales data and performance metrics to evaluate the effectiveness areas for improvement. Use insights gained from data analysis to make adjustments to merchandising plans