Data Solutions Architect to join their team in Sandton offices.
Role Purpose
Responsibilities:
healthcare industry is looking for an experienced Data Scientist to join their team. If you come from the these Relevant data science certification such as Python, Microsoft, AWS, Hadoop, Big Data, Machine Learning is not negotiable Minimum 5 years experience in data science related projects Experience in Python / notebooks SQL Knowledge and working with large scale data sets Machine learning techniques experience Working Agile environment Experience in operationalizing data science solutions Critical: Experience in a high-scale
talented Data Solution Architect to join our dynamic team and play a crucial role in shaping our data infrastructure develop, and implement robust data solutions, including data warehouses, data lakes, and BI platforms. Conduct performance analysis, tuning, and administration of data solutions. Collaborate with cross-functional teams scalable data architectures. Leverage cloud platforms, particularly AWS, to deploy and manage data solutions solutions. Ensure data integrity, security, and compliance with industry standards and best practices. Required
The purpose of the Data Engineer is to leverage their data expertise and data related technologies, in
in line with the companys Data Architecture Roadmap, to advance technical thought leadership for the
purpose data products, and support data initiatives. In addition, Data Engineers enhance the data infrastructure
intelligence by providing clean, usable data to stakeholders. They also create data pipelines, Ingestion, provisioning
solutions around big data that support the Bank's strategy to become a data driven organisation.
Senior Data Engineer to join their organization at their Johannesburg branch. The Senior Data Engineer within the Data Science Team, the Data Engineer will be responsible for the organization's data structure enterprise standard ETL/ELT processes as well as data lakes and a focus on code-based techniques and collaborative infrastructure Active working experience in Big Data is ideal Experience in market research, marketing marketing industries, and survey & sampling data would be beneficial Job & Description: Collaborate
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
market to cleanse and enrich prospective customer data, including points of contact, contact details, current
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
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
Reference: JHB001787-GuguN-1 Job Description: The Data Scientist will focus on developing cost variance variance use cases as part of Exxaro Resources' Data & AI Strategy. This position entails working onsite statistical and machine learning techniques to drive data-driven decision making. - Present findings to both What We're Looking For: - Experience:4-6 years in data science roles. - Skills: Proficiency in Python, analysis and modeling techniques. Experience with data visualization tools (e.g., Tableau, Power BI). -