Dimension Data Marketing Jobs in Gauteng
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Digital Marketing Executive Market Related
Majinga
South Africa
trade show events environment requires a Digital Marketing Executive to join their team. The vision for this email campaigns, workflows, etc. Work with the Marketing manager to develop the digital strategy on particular particular events. Run in-house Ads. The digital marketing exec role offers a unique opportunity for professional responsibilities: Manage the overall digital marketing campaign, strategy, and implementation across all digital marketing campaigns across PPC, social media (paid and organic), email marketing, and display
share this job on whatsappDigital Marketing Specialist Market Related
Lancet Laboratories LtdAuckland Park
We have an opportunity presented for a Digital Marketing Specialist based in Richmond (Auckland Park) tasked to p lan, develop, create, and execute marketing campaigns and requirements of an information technology Responsibilities: • Assist with the development of digital marketing strategies that align with business objectives changes to promote messages and campaigns. • Conduct market research to identify trends and opportunities in social media, etc. • Work closely with the digital marketing team to create and manage distribution plans across
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 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 Scientist
Johannesburg
insurance industry is looking for an experienced Data Scientist to form part of their life and non-life
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 Capture
Dsv Transport And LogisticsSouth Africa
in Silverton requires a Data Capturer Duties & Responsibilities Capture data from available records spreadsheets Verify and query missing data and errors Ensure that all data is entered accurately and in a timely experience would be an added advantage The post Data Capture appeared first on freerecruit.co.za .
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
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