use your analytical brain to develop and maintain data pipelines and automation tools, assist with database bachelor's degree or honours in Computer Science, Data Science, Investments, or Mathematics. You also need languages commonly used in quantitative finance and data analysis, SQL is essential, Python and R are advantageous
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
Salt Senior Data Engineer | Innovative Tech Firm | Cape Town Model: Hybrid (3 days in office) Location: a Senior Data Engineer with a knack for AWS and Terraform to build and maintain their data infrastructure go-to expert for all data-related tasks. From architecting and managing the AWS Data Lake and Warehouse and ensuring data quality, you'll have the opportunity to influence every stage of the data journey. Requirements: (Terraform preferred). - Solid understanding of data security best practices and privacy laws. - Agile
Prepares, transforms, models data and resolves conflicting sources of data and anomalies Supports the delivery including Agile ceremonies Implement methods to improve data reliability and quality Combines raw information formats Develop and test architectures that enable data extraction and transformation for predictive or Cooperate with the Business Analyst, Data Architect and Data Visualisation Developer throughout these in extracting value and features from large scale data and toolsets Modern code development practices Extensive
production databases while ensuring high levels of data availability. This individual is also responsible goals for production databases in conjunction with data owners and department managers. Work with application disaster recovery and data archiving to ensure effective protection and integrity of data assets. Acquisitions and allocate physical data storage for database systems. Plan and coordinate data migrations between systems experience Experience in DB2 LUW data base technology and tools (Data Server Manager) Experience in troubleshooting
We are looking for a Data Analyst to join our Data Management team. This opportunity will be based in • Design, implement and collate ATM performance data to determine the effectiveness of optimization strategies Intelligence • Minimum 2 years' experience as a Data Analyst/BI Developer • Experience in supply chain Intermediate Excel • PowerBI development, dashboarding, data source management/maintenance and model design •
Are you passionate about data engineering and ready to make a significant impact? We are seeking a highly highly skilled and motivated Senior Data Engineer If you excel in data architecture, ETL processes, and robust data architectures and ETL processes that support our organisation's data needs and drive data-driven Key Responsibilities: Data Architecture and Modelling: Design and develop data architectures that meet meet the organisation's data requirements. Optimise data models for efficient storage, retrieval, and analysis
you a talented Data Engineer looking to make a significant impact? If you excel in data collection, analysis this role is to collect, clean, and analyse data to drive data-driven decision-making and support business Responsibilities: Data Collection and Cleaning: - Collect, extract, and compile data from various sources transform raw data into structured datasets for analysis. - Identify and resolve data quality issues developments in data analytics. Data Analysis and Interpretation: - Perform exploratory data analysis to
Are you passionate about data engineering and ready to make a significant impact? We are seeking a highly highly skilled and motivated Senior Data Engineer If you excel in data architecture, ETL processes, and robust data architectures and ETL processes that support our organisation's data needs and drive data-driven Key Responsibilities: Data Architecture and Modelling: Design and develop data architectures that meet meet the organisation's data requirements. Optimise data models for efficient storage, retrieval, and analysis
perform data quality checks in a methodical manner to understand how to accurately utilize client data. Expert challenges of advanced data manipulation, complicated programming logic, and large data volumes is required Provides solutions for data driven applications involving large and complex data and providing reconciliation from source to end reporting data marts. Design Conceptual and physical data model for a global Datawarehouse practices/standards. Build monitoring and testing mechanisms on data transformations Continuous improvements on AWS in