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
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
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
Senior Data Engineer to join their organization at their Johannesburg branch. The Senior Data Engineer within the Data Science Team, the Data Engineer, you 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
maximum efficiency. Define both physical and logical data security rules and establish usage standards for and capacity planning. Create databases and deploy data on physical media, AZURE DaaS, or Private Cloud including inventory and capacity planning. Ensure data availability and quality by maintaining and enhancing to ensure efficient data access. Administer user access permissions and address data security concerns backup systems to maintain data integrity, including archiving and purging data as necessary. Establish
experience with data warehouse implementations; and strong knowledge of logical and physical data modeling concepts drive data store/data warehouse/data mart design and configuration Use ETL tools to load data store(s)/data store(s)/data warehouse(s)/data mart(s) Provide support as required to ensure the availability and performance performance of enterprise data and BI environments for both external and internal users Ensure proper configuration that data is being correctly gathered, stored, and analyzed Develop methodologies to improve data analysis
a plus). Azure Data Lake, Data Factory, SQL Data Warehouse (a plus). Predictive data modelling (a plus) maintain reports and supporting data. Design, build, and maintain data and integration architectures. solutions. Initiate BI training programs. Utilize data warehousing concepts. Ensure ZAP tool security.
This role involves developing analytical models and data visualizations to support business decision-making Responsibilities: Create and maintain analytical models and data visualizations. Provide operational support and develop suitable BI solutions. Prepare and present data and analytics reports. Engage with stakeholders degree/diploma related to Business Intelligence/Data Warehousing/Database Administration (Advantageous) Power BI, SQL, and other relevant tools. Strong data management and analytical skills. Excellent communication
suitable solutions. Data Collection and Analysis: Conduct research and analyze data to identify key themes trends. Insights and Reporting: Prepare and present data and analytics reports to stakeholders. Stakeholder Specifications and Data Management: Ensure data integrity and manage key elements of data management systems Nprinting Experience with data warehousing and Geo-Analytics Ability to analyze data trends and create effective presentation skills Knowledge of compliance and data regulations Strong planning and organizing abilities