and IT Methodology processes is recruiting for a Data Scientist – AI Platform to offer a deep insight
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 Business Intelligence (BI) Experience Technical data modelling and schema design (“not drag and drop”) Boto3 ETL Docker Linux / Unix Big Data Powershell / Bash GROUP Cloud Data Hub (CDH) GROUP CDEC Blueprint
transformed environment. To analyse and integrate data,submitting reports to support workforce insights collaboration with relevant CoE stakeholders. Data Capture all fields that inform reports or further processing contribution of LandD data insights i.e. Creating a course on the LMS, capturing attendance registers extracting of monthly and adhoc reports. Contribute data insights for both the business and the learning systems. Data analysis and insights, statistical knowledge and understanding, on how to extract data from
transformed environment. To analyse and integrate data,submitting reports to support workforce insights collaboration with relevant CoE stakeholders. Data Capture all fields that inform reports or further processing contribution of LandD data insights i.e. Creating a course on the LMS, capturing attendance registers extracting of monthly and adhoc reports. Contribute data insights for both the business and the learning systems. Data analysis and insights, statistical knowledge and understanding, on how to extract data from
administration for the Section and the Commission Capture general operational information electronically
administration for the Section and the Commission Capture general operational information electronically
of Labour, Department of Transport). Creditors: Capture all authorized invoices in Pastel promptly. Manage banking system. Debtors: Manage daily revenue capture via bank transactions. Ensure timely invoicing
have) Exposure to / knowledge of how trades are captured/booked and how they feed through the clearing
(Identification of data sources internally as well as externally to the industry, Daily data collection from Clean-up (Facilitation of data clean-up, Importation of data sets where applicable, Data Quality assurance) threats and risks with the objective to predict future data trends and develop counter measures and best practices
the dealer parts kaizen team by providing accurate data analysis and reporting with regards to dealer inventory Project planning Data collection Data analysis – client supply (dealer network) Data evaluation Improvement