Development: Creation of services, reports and applications as per business requirements, and agreed deadlines. Support: Responsible for assisting IT and IS support personnel in solving technical problems. Documentation: Comprehensive documentation of new and existing systems at a technical level to
RESOURCES (SADiLaR) POSITION NUMBER: P002872 VACANCY: DATA SCIENTIST PEROMNES: A7 EMPLOYMENT TYPE: PERMANENT PERMANENT APPOINTMENT PURPOSE OF THE POSITION As a Data Scientist at the South African Centre for Digital Language Human Language Technology, Digital Humanities, Data Science, Computer Science, Information Technology
iOCO is seeking a highly skilled Senior Data Developer to join our innovative team. The ideal candidate
Duties:
Review and clean existing data sets to ensure accuracy and completeness.
â
rectify inconsistencies, duplicates, and errors in the data.
â Collaborate with cross-functional teams
/>Proven experience in data cleansing and quality assurance.
â Familiarity with data management tools
encryption protocols for data protection at rest and in transit. Utilize Data Loss Prevention (DLP) tools Implement data classification policies and technologies for labeling and protecting sensitive data. Manage appropriate data access. Understand and apply tokenization methods to replace sensitive data with non-sensitive non-sensitive equivalents. Implement techniques for data masking and redaction in non-production environments security events related to data. Implement secure methods for transferring files and data within and outside
the SAP, Java, Azure and Cloud landscape seeks a Data Streaming Platform Engineer. Running business critical accordance with the agreed hours of operation within a shift model Usage of automation tools to monitor and observe
Job Title: AWS Data Engineers Required - Project Based - Contractual-to start asap-JHB - Hybrid Location: develop, and implement AWS cloud solutions for data engineering projects. 2. Utilise AWS services such and API Gateway to build scalable and efficient data pipelines. 3. Collaborate with cross-functional Required Qualifications: Proven experience as an AWS Data Engineer or similar role Strong understanding of scheduling and identifying data/job dependencies. Knowledge / Experience with data engineering using AWS platform
internationally for over 5000 clients Data Acquisition, Data cleansing, Data transformation. Machine learning learning algorithms to uncover data patterns, make predictions and build intelligent systems.
a visionary Data Scientist to spearhead their data-driven initiatives as the Head of Data Science. Join future of data-driven decision-making. APPLY NOW Key Responsibilities: Shape and execute the data strategy objectives and drive innovation. Lead a team of data scientists and analysts, providing guidance, mentorship Oversee the collection, storage, and analysis of data to derive actionable insights. Collaborate with leveraging data to solve business challenges. Develop and implement best practices for data governance
Responsibilities:
Data Analysis and Modelling: