Dept Of Sassa %2C Data Capture Job Jobs in Gauteng
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Contract
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Code 10 Driver Plus Pdp And Data Capturer
Johannesburg
driving the Rhiza Babuyile Mobile Clinic and data capturing.
Responsibilities
share this job on whatsappData Analyst
Johannesburg
Monthly />
- Source information from different data warehouses, data marts, manual systems and on-line systems appropriate data sources given the business requirement
- Collect and package data into usable understanding of insights and opportunities presented by the data set
- Prepare customised reports based on business cases is credible by ensuring accuracy of the data used
- Propose approaches to the business of data received to support the measures or KPIs
- Analyse trends within the business data to reduce
Data Scientist
Johannesburg
Negotiable
insights from data and solving complex business problems? We're looking for a skilled Data Scientist
identify data sources, and create engaging Power BI reports and dashboards.
Data Scientist
Gauteng
Market related
My client in the government sector is looking for Data Scientist x 2
Location: Onsite
Responsibilities
Data acquisition, data cleansing, data transformation
Machine learning
Data Analyst
Johannesburg
Hourly
Job Title: Data Analyst
Employment Type:
- 6+ years of experience.
- Finance data domain Knowledge (Experienced).
- Database
Data Engineer Cape Town
IntellinexusSouth Africa
business-led data and business intelligence consultancy that empowers organisations with data-driven decision-making environments. Our expert teams apply a mastery of data and technology to craft strategies that revolutionise the role The Data Engineer is responsible for designing, building, and maintaining the data infrastructure infrastructure that supports the organization's data needs. They will work closely with various teams to gather requirements, design, and develop data pipelines, and ensure data quality and availability for analysis
Data Engineer Midrand
IsanqaSouth Africa
as possible ROLE: Data Engineers are responsible for building and maintaining Big Data Pipelines using using GROUP Data Platforms. Data Engineers are custodians of data and must ensure that data is shared in line Computer Science, Data Engineering or a comparable field of study with a focus on data intensive applications Experience in architecting and implementing scalable data pipelines in cloud environments, preferably Azure Azure. ESSENTIAL SKILLS: Programming skills in data related programming languages and frameworks, such as
Cloud Data Engineer Johannesburg
IntellinexusSouth Africa
business-led data and business intelligence consultancy that empowers organisations with data-driven decision-making environments. Our expert teams apply a mastery of data and technology to craft strategies that revolutionise role As a Data Engineer you will utilize your knowledge of Integrations, Automations, Data Management Management, Data Modeling. You will collaborate with the Business Intelligence team, Product Development teams teams, Cloud Operations teams, and the Data Engineering team to curate a high-quality dataset to serve your
Data Engineer Cape Town
Dlk GroupSouth Africa
We require a Data Engineer and this is an office based postion. Modifying the database structure, as performance of the database. Maintaining archived data. Contacting database vendor for technical support policies, and procedures for data management. Define and implement alerts on data. Develop reports and ETL and procedures. Data warehousing. Will be responsible for developing ETL packages and data warehousing, International Data engineering Qualifications or certifications. Minimum of 5 years' experience as a Data Engineer
Data Architect Pretoria
Linkfields InnovationsPretoria
highly skilled and experienced Data Architect to join our team. As a Data Architect, you will be responsible responsible for designing, developing, and implementing data solutions that meet our organization's needs. You stakeholders to understand requirements, design data models, and ensure data integrity, security, and availability translate them into data architecture solutions. Design and develop scalable and efficient data models for relational non-relational databases. Define data standards, guidelines, and best practices to ensure data quality and consistency
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