highly skilled Business Intelligence Analyst & Data Scientist to join their dynamic team. The successful successful candidate will be responsible for managing data retrieval and analysis within the organization and organizing data flow, communicating between senior management and the IT department, and analyzing data to determine sources including company data, public information, and purchased sources. Write data collection and processing processing procedures (in SQL). Ensure that data is correctly gathered, stored, and reported. Report on key
and external project engagements. Understanding data is the catalyst for innovation, informed decision-making navigating the data mine can be a challenge. Our Data Consultants are fuelling the data-driven revolution thrive in the future. Data Engineering Enhancing data solutions, including databases, data warehouses, and pipelines, to maximise raw data's utility. We design BI Architectures, craft robust data solution architectures architectures, aid in seamless data migration, integrate disparate sources into unified data marts, and ensure technical
Digital Solutions, Database, Business Intelligence and Data Analytics solutions. CyberPro's expertise spans range of modern software development, digital and data technologies and vendors, with a focus on Microsoft Software and System development 3. System integration, Data integration and migration 4. Web and Mobile Digital Digital solutions 5. Business Intelligence, Big Data and Data Analytics 6. Workflow and Robotics Process Automaton Specification: Audit Portfolio Manager with Digital and Data Experience Job Title: Audit Portfolio Manager About
market to cleanse and enrich prospective customer data, including points of contact, contact details, current
JHB001765-Laka-1 Join our dynamic IT Hub South Africa as a Data Scientist on the AI Platform team. You will leverage excellent teamwork abilities, and a passion for AI and data analytics. ESSENTIAL SKILLS REQUIREMENTS: - Strong
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
Reference: JHB001766-Laka-1 Looking for a dynamic Data Scientist to join our team at the forefront of AI
management are on a recruitment drive for a Data Scientist to apply data mining techniques and conduct statistical statistical analysis to large, structured and unstructured data sets. Responsibilities: Model complex business problems machine learning models from and utilises distributed data processing and analysis methodologies. Competent such as HDFS / Spark / Kafka. Provide input into Data management and modelling infrastructure requirements systems, are understood and adopted relating to data collection, integration and retention requirements
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
software development space requires an experienced Data Engineer to join their team. Your main responsibility designing, developing, and maintaining data warehouses and data lake solutions for clients. Qualifications: experience in data engineering Strong data warehousing and data lake architecture experience Data Vault and SQL experience Big data experience such as Hadoop, Spark, AWS EMR Experience with data streaming technologies KPAs: Design and develop data warehousing and data lake solutions Ensure data accuracy Implement ETL processes