innovative financial services have an opportunity for a Data Engineer who will take responsibility for driving ETL systems for a big data warehouse to implement robust and trustworthy data to support high performing algorithms, predictive models and support real-time data visualisation requirements across the organisation Responsibilities: Systematic solution design of the ETL and data pipeline in line with business user specifications to the approved solution design Ensure data governance and data quality assurance standards are upheld
developing, and maintaining master data management solutions to ensure data integrity, consistency, and accuracy role in implementing MDM solutions and supporting data governance initiatives. MDM Solution Development Development Design, develop, and customize master data management solutions using MDM platforms such as Informatica Implement data models, hierarchies, and relationships to support business requirements and data governance workflows, business rules, and data validation processes within the MDM platform Data Integration and Interoperability
brands and retailers have a vacancy for a Senior Data Analyst whose focus will be on building out our market through powerful data pipelines. Responsibilities: Help streamline our data science and analytics analytics workflows by improving data delivery and quality to internal and external stakeholders. Use agile software Work closely with the data science and business intelligence teams to develop data models and pipelines and machine learning Model front-end and back-end data sources to help draw a more comprehensive picture
Position: Master Data Administration Officer Hire Resolves client is seeking a dedicated and detail-oriented detail-oriented Master Data Administration Officer to join their team in Rustenburg, North West. The ideal candidate managing and maintaining the organisation's master data records, ensuring accuracy and consistency across and maintain master data records in various databases and systems. Perform data cleansing and de-duplication de-duplication activities to ensure data integrity. Identify and resolve data quality issues in a timely manner
Reference: ITE006013-DAP-1 Are you a meticulous Data Analyst with a passion for finance? A leading financial dynamic team. Key Responsibilities: Data Collection & Management. Data Analysis. Reporting & Visualization Collaboration with IT and other departments to implement data-driven solutions. Continuous Improvement Qualifications Qualifications & Skills: Education: Bachelor's degree in Data Science, Statistics, Finance, Economics, Computer certification in data analysis or finance is a plus. Experience: Minimum of 1-3 years in data analysis within
Data Warehouse Manager manages the daily activities of the team responsible for the design, implementation maintenance, and support of data warehouse systems and projects. Oversees data design and the creation of and data repositories. The Data Warehouse Manager must also establish and lead a world class data analytics/warehouse Existing data warehouses Develop, test, deploy, maintain and support new databases, and reporting, data warehouse developments and trends in the data enablement field to assist the business to keep its data analytics and management
management are on a recruitment drive for a Data Scientist to apply data mining techniques and conduct statistical structured and unstructured data sets. Responsibilities: Ability to do routine data cleaning and analysis tasks and correlations in data from which hypothesis can be build Ability to turn data insights into practical practical actions resulting in improved results Data Visualization Modify rule-based scorecards, frameworks available data (Logistic regression, random forest, etc) Ability to train and maintain models Data cleaning
power of data? Join us as a Data Scientist Dive into cutting-edge projects, analyze Big Data, and craft Responsibilities: Apply advanced data science techniques to optimize data value extraction and analysis maintain projects using Big Data technologies. Utilize machine learning, data mining, and anomaly detection detection to enhance data insights. Present findings effectively, foster collaboration, and innovate for market Proficiency in quantitative model building and data analytics. Experience with machine learning model
management services have an open role for a Data Engineer to execute data engineering duties according to the maintain complete data architecture across several application platforms Analyse data elements and systems loading of data Build, create, manage and optimise data pipelines Create data tooling, enabling data consumers consumers in building and optimising data consumption Execute on the design, definition and development of performing root cause analysis on internal and external data and processes Knowledge of integration patterns
motivated Data Engineer to join their dynamic team as an integration specialist. As a Data Engineer, maintaining their data infrastructure and pipelines. You will collaborate closely with the data scientists, reliable data flows throughout the organisation. The ideal candidate has a strong background in data engineering scalable and efficient data pipelines and ETL processes to ingest, transform, and load data from various sources sources. - Develop and implement data warehousing solutions. - Collaborate with cross-functional teams