in this pursuit they are in need of a passionate Data Scientist ready to design, prototype, and build by applying strong expertise in machine learning, data mining and conducting information retrieval within Develop actuarial / statistical models to enable data driven decision making. Identify appropriate models insights into member behaviour. Employ advanced data analytics and machine learning techniques to detect databases and data flows between systems. Ability to create dashboards, reports and data visualisation
We are looking for a Data Analyst to join our client in the mining/construction industry based in Elandsfontein Johannesburg. Create data models and reports in a structured data format to enable data ingestion, transformation key business metrics and trends. Identify valuable data sources and automate collection processes, design understandable data visualization techniques. Design and implement data quality and data validation within the reports to ensure accuracy and consistency of data. Operate within various departments and assist in
space and has embarked on an exciting, strategic, data modernization program that will equip them to better looking for someone who can help to ensure that the Data Services deliveries to both internal and external functional, non-functional, and business aspects of the data pipeline and analytics solutions. Identify areas to validate the functionality, performance, and data integrity of the Azure Databricks environment. Utilize reliability of the data pipeline. Data Validation and Quality Assurance: Develop automated data validation scripts
An amazing opportunity for a Senior Data Engineer to join a multinational organization that produces work with feature teams to design and implement data extraction, cleaning, analysis, visualization, and database types to target data containers for the purpose of migrating data to cloud technologies If you Assist in creating data pipelines from source to target platforms. Experience in Data validation and verification to transform data from source to target for analytical purposes (Business Objects/Data Lakes) and migration
Our client requires the services of a Data Engineer/Scientist ( Expert) - Midrand/Menlyn/Rosslyn/Home collaboration High work-life balance with Flexible hours Agile working environment POSITION: Contract until 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
some Python and AWS data engineering experience, as everything will be related to data ingestion, storage
Role : AWS Data Engineer Location : Johannesburg [ 3 Days in a week from office] Duration : 12 Months are seeking a highly motivated and experienced AWS Data Engineer to join our Global Markets division. In quantitative analysts, and data scientists to design, develop, and maintain data infrastructure and pipelines background in C# or Python programming and building data pipelines on AWS, especially with AWS Glue Jobs contributing to the design and implementation of data pipelines to support global markets business. It
to address business challenges.
within a consultancy known for leading a world class data analytics/warehouse capability and specialising by implementing AI solutions has a vacancy for a Data Warehouse Manager who will be responsible for enabling maintain and support new databases, reporting, data warehouse and business intelligence applications Solutions Contribute to the overall data warehouse architecture and data base designs Maintain and oversee oversee the administration and maintenance of the data warehouse Develop and maintain Business Intelligence
buildup initiative aimed at pooling highly skilled Data Engineers for upcoming opportunities in Africa. requirements of the data & analytics environment Analyse business or system requirements and data to enhance years in a data environment Experience with ETL processes and SDLC Database system and cloud data warehousing experience (relational databases, star schemas) Data Analysis, Design, and Architecture experience Ideally