Data Capturing Part Time Jobs in Johannesburg
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Data Engineer
Johannesburg
Annually />
- Architect and maintain robust data pipelines
- Design scalable data infrastructure
- Collaborate cross-functional teams to unlock the full potential of our data
- Competitive of experience in data engineering
- Proficiency in SQL, Python, and big data tools
- Strong tools
- Strong problem-solving skills and a passion for data
share this job on whatsappData Engineer
Johannesburg
Overview:We are seeking an experienced and highly skilled Data Engineer to join our client’s dynamic and innovative scalable data pipelines and infrastructure. This role requires a deep understanding of data engineering delivering high-quality, reliable, and efficient data solutions.
Key Responsibilities:<
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Data Engineer
Johannesburg
45 000 Monthly
You'll Do:Design, Develop, and Optimize Data Pipelines
- Lead the design on-premises data pipelines.
- Ensure the creation of accurate, efficient, and cost-effective data systems support data scientists, analysts, actuaries, and other key initiatives.
Data Engineer
CodematchSandton
hospitality and entertainment industry is seeking a Data Engineer. In this role, you will manage projects into potential technology innovations, delivering a data architecture that supports future business growth including customers, staff, and gambling boards. As a Data Engineer, this role will allow you to work on large-scale of experience as a Data Engineer. Minimum of 3 years of experience building data pipelines including SSIS, data migration, and integration. Knowledge of building data dictionaries and dimensional data models
Data Scientist
Johannesburg
industry is looking for an experienced Data Scientist to form part of their life and non-life insurance
opportunity:
As a data scientist, you'll be instrumental in utilizing data to uncover valuable
with various teams, you'll craft inventive, data-centric solutions that tackle business hurdles and
develop robust data pipelines and infrastructure for structured and unstructured data.
Apply
Data Engineer
Johannesburg
Market Annually
seeking an experienced Data Engineer to join our data team and work closely with the Data Specialist to design
design, develop and implement efficient data pipelines to support business operations and decision-making
have strong technical skills in data management, experience in data integration, and a proven track record
record of delivering high-quality data solutions.
Key Responsibilities:
- Work with the Data Specialist to develop and implement a comprehensive data architecture that supports
Data Scientist
Goldman Tech Resourcing LtdJohannesburg
insurance clients is looking for an experienced Data Scientist to join their team. You will work with client is looking for someone that has ML and Big Data experience. We require a candidate with: BSc/BCom
Data Consultant
Raw AmbitionCentral Johannesburg
1. Data Analysis: Analysing and interpreting complex data using statistical methods and tools to uncover insights and trends. 2. Data Extraction: Using ETL / ELT methods and tools like Azure Data Factory and Synapse Synapse. 3. Data Visualization: Creating visualizations and dashboards to communicate data insights effectively 4. Data Cleaning: Cleaning and preprocessing data to ensure accuracy and completeness. 5. Data Modelling: Working collaboratively with other members of the data science team and other departments to identify business
Data Engineer
Johannesburg
excellent returns, is seeking a talented Data Engineer to join their data analytics team. They are committed maintain robust data pipelines using SQL and Microsoft Fabric
Data Modeller
Johannesburg
- Design data models that meet the business requirements and align to the agreed architecture architecture framework.
- Ensure data modelling deliverables are delivered according to project plan and budget meet commitment to stakeholders.
- Ensure all data modelling activities and deliverables are aligned the data modelling principles and standards
- Apply the approved tooling to create the data modelling
- Adopt the Enterprise Data Model (which is based on the IFW) as a standard for data model designs to leverage
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