Data Engineer - Gauteng Locations: Centurion l Johannesburg l Cape Town Working model: Hybrid Specification: Specification: The Data Engineer will have a knack for data analysis, data manipulation, and data modelling. experience as a Data Engineer / Database Developer. Experience in data mining, large scale data modelling and working experience in data integration and transformation. Experience implementing data modelling methodologies Modelling and / or Data Vault. Working knowledge of data quality processes and master data management. Experience
the data to create actionable plans for the 13 operational sites across the EMEA region. The Data Scientist identify business problems and opportunities for data-driven solutions. Collect, clean, and manipulate other data scientists, engineers, and business analysts to develop scalable and efficient data pipelines gaining an understanding of the process context, data collection, and extraction methods. Continuously accuracy and effectiveness. Stay up-to-date with new data science and machine learning technologies and methodologies
Urgently looking for a Data Engineer with an eye for detail to join our client’s team. You will be required to develop and maintain data pipelines, perform analysis on organizational data and create reports to communicate
We're on the hunt for the Head of Data that will shape and execute the data strategy, and drive innovation responsible and strategic management of data assets. You will use data to guide decision making for the business bachelor's or Master's degree (think Computer Science, Data Science, Business Science, Information Systems)
An exciting opportunity has come up for a Data Engineer with extensive experience in Databricks Azure
Retail industry located in Cape Town is looking for a Data Engineer to join their team. Requirements: BSc Honours
Job Specification: Data Scientist Position: Data Scientist Job Summary: As a Data Scientist, you will implementing data-driven solutions for our organization. Using statistical analysis, data mining techniques insights and patterns from complex datasets to drive data-driven decision-making across various departments decision-making. 3. Clean, preprocess, and manipulate data to ensure data quality and integrity. 4. Collaborate with present actionable insights and recommendations from data analyses. 5. Apply statistical techniques such as
to new heights. We're looking for highly skilled Data Analysts with experience in financial services, Interpret data, analyze results and interpret trends enabling continuous improvement in data quality and specifications that specify data sources, data flows, data transformations, data storage and reporting Produce documentation such as source-to-target-maps, data dictionaries and data models Create test cases and scenarios and business stakeholders to identify data sources, find data definitions for master and metadata as
a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst responsibilities include conducting full to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities Responsibilities Develop and implement databases, data collection systems, data analytics and other strategies that quality Acquire data from primary or secondary data sources and maintain databases/data systems Identify
and Insurance industry is looking for their next Data Scientist This role is available in both JHB and problem-solving skills are essential for interpreting data. We also want to see a passion for machine learning better decisions. Responsibilities Identify valuable data sources and automate collection processes Undertake Undertake to preprocess of structured and unstructured data Analyze large amounts of information to discover through ensemble modelling Present information using data visualization techniques Propose solutions and strategies