experience 3 years' experience as a buyer of Mechanical Parts Experience with construction vehicles, equipment
wholesale company in the automotive replacement part industry. Our company is looking for energetic and selling replacement parts for motor vehicles. Doing research for development of new parts. Building long term
auto parts company External sales Visting Clients Selling of Auto Parts Knowledge of Auto Parts is essential essential External sales min 5yrs experience Auto Parts Sales Experience essential R15,000 Comm Pension
AFTERMAKET AUTOMOTIVE PARTS SALESMAN POSITIONS ONLY CVs WITH AUTOMOTIVE PARTS SALESMAN EXPERIENCE WILL Previous parts salesman experience essential. Young and energetic salesman with Automotive Spare Parts Sales experience. Extensive knowledge of vehicle replacement parts. Customer service. To provide an exceptional level current and prospective customers relating to all parts being sold over the counter, online, or any other cvdatamweb.co.za Subject: " AFTERMAKET AUTOMOTIVE PARTS SALESMAN ” If you are not contacted within 2 weeks
goals for production databases in conjunction with data owners and department managers. Work with application disaster recovery and data archiving to ensure effective protection and integrity of data assets. Conduct research execution time, and implement efficiency improvements. Monitor, optimize and allocate physical data storage storage for database systems. Plan and coordinate data migrations between systems. Develop, implement, and experience. Experience in DB2 LUW data base technology and tools (Data Server Manager) Experience in troubleshooting
The Data Scientist works under the guidance of the Technology team and will be responsible for analyzing raw information (particularly unstructured text data) to find patterns, build models to address business problems, and present information using various data visualization techniques and platforms. Applying business problems, turning the company's volumes of big data into valuable and actionable insights. Collaborating applicable, undertaking data mining and developing and documenting robust and scalable data extraction tools
about leading a dynamic team within the realm of data and technology, and if you thrive in a collaborative for As the Urban Data Lead, you will have a pivotal role in shaping the company's data ecosystem, optimizing cross-functional teams, you will lead a team of data experts, ensuring they align with the company's and work ethic. A Master's degree with a focus on data science or equivalent practical experience is required required, while possessing multiple additional data-focused qualifications would be highly desirable.
for a highly analytical person with a knack for data analysis. Involving manipulation, modelling and inter-dependencies between various data sources and business processes involving data flow. The Data Engineer will also and building data management solutions. There will also be elements of integrating with data science tools visualise their data. Key Responsibilities & Accountabilities Construct end to end data service solutions Understand and manage the client's data requirements, the data being specific to the financial markets
enjoyed considerable success in Australia and other part About our client: Highly innovative organisation stakeholders to shape data architecture and requirements collaboratively. Craft data models and schemas appropriate data storage solutions, including relational databases, data warehouses, data lakes, and NoSQL Lead the implementation of data governance policies and standards. Uphold data quality and integrity across organisation. Ensure adherence to data security and privacy regulations. Share data architecture strategies with
The delivery of reliable, on-time, efficient & high-quality data analytics solutions and professional achieve joint targets and deliverables • Reliable, On-Time, Efficient & Quality Delivery as per the chosen Experience: • 3 – 7 years in Business Intelligence/Data Analytics/Data • Science/Modelling/Statistics • Programming planning, time management and organisational skills • Knowledge of statistical modelling and data mining