Data Geologist Jobs in South Africa
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Chief Geologist
Rpo Recruitment
Burgersfort
Title: Chief Geologist Location: Mining Industry - LP RPO Recruitment's client is seeking a highly experienced experienced Chief Geologist to join their mining company in LP. The Chief Geologist will be responsible Responsibilities: Lead and manage a team of geologists and support staff to ensure efficient and effective production processes Monitor and analyze geological data to ensure compliance with environmental regulations
share this job on whatsappData Scientist
Cape Town City Centre
Monthly
Responsibilities:
- Develop and maintain data models for BI and analytics solutions.
- Code Palantir Foundry.
- Assemble large, complex data sets to meet business requirements and advanced to ingest and process structured and unstructured data from various source systems into analytical platforms cross-functional international team to design and implement data-driven workflow solutions.
Data Engineer
Cape Town City Centre
skills
Qualifications
Talend
Data Scientist
Durban
50000 Monthly
Responsibilities:
Data Analysis and Modelling:
- Develop processes
- Conduct in-depth data analysis, data exploration, and data preprocessing to extract valuable
/>Data Strategy and Planning:
- Collaborate with stakeholders to define data-driven data-driven objectives and formulate data strategies aligned with business goals
- Identify key performance performance indicators (KPIs) and establish data collection and measurement protocols
Feature
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
Data Scientist
Cape Town City Centre
Negotiable and experienced Data Scientist with a robust background in data analysis, machine learning and R, as well as expertise in SQL for efficient data manipulation. Excellent problem-solving skills, exploring emerging technologies and methodologies in the data science field.Â
What you’ll do
explore, examine, integrate and scrub data from multiple disparate data sources required to answer complex
and collaborative partnerships with BI Analysts / Data Scientists / Use Case Owners in the business.
Data Engineer
Pretoria
Market related
a large financial institute has a vacancy for a Data Engineer on a contract basis.
The Company
incumbent will be responsible for delivering central data management, governance and reporting within the
organisation.
Designing and implementing data strategies and systems, through collaboration with
Management) and Business teams, to create and maintain the data architecture that will drive various initiatives
automate extremely high volumes of data delivery and creatively solve data volume and scaling challenges.
Data 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 Analyst
Place Talent Recruitment LtdNorth Johannesburg
a highly motivated and detail-oriented Financial Data Analyst to join our clients' team. In this role you will be responsible for analyzing financial data, generating insights, and providing actionable recommendations a related field Proven experience as a Financial Data Analyst or in a similar role Proficiency in financial skills Strong knowledge of statistical analysis and data visualization tools (e.g., Excel, Tableau, Power Responsibilities: Collect, analyze, and interpret financial data to support business decision-making Develop financial
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.
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