business-led data and business intelligence consultancy that empowers organisations with data-driven decision-making environments. Our expert teams apply a mastery of data and technology to craft strategies that revolutionise role As a Data Engineer you will utilize your knowledge of Integrations, Automations, Data Management Management, Data Modeling. You will collaborate with the Business Intelligence team, Product Development teams teams, Cloud Operations teams, and the Data Engineering team to curate a high-quality dataset to serve your
: A Master data lead What will you do: As a key member of the project team, the Master data lead is responsible responsible for the management and maintenance of master data according to business policies and rules, supporting WSNP,) ensuring the quality and integrity of the data, guaranteeing that it is accurate, complete and planning. Fix the basics: Owner to ensure master data for all relevant modules are checked and corrected parameters etc. Understand and document all data requirements and data sources for all modules in scope for
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Investigate data quality issues with the wider team and suggest solutions. • Communicate complex data insights teams to develop data-driven solutions and strategies. • Develop and implement data validation checks checks to ensure accuracy and completeness of data. • Competencies • Strong problem-solving skills with the ability to translate abstract business problems into data queries. • Honours degree in Mathematical Statistics be considered. • Min 4 - 6 years of experience in data analysis or a related field. • Strong proficiency
Senior Data Engineer to join their organization at their Johannesburg branch. The Senior Data Engineer within the Data Science Team, the Data Engineer will be responsible for the organization's data structure enterprise standard ETL/ELT processes as well as data lakes and a focus on code-based techniques and collaborative infrastructure Active working experience in Big Data is ideal Experience in market research, marketing marketing industries, and survey & sampling data would be beneficial Job & Description: Collaborate
management practices, ensure alignment to the group risk data principles and governance and identify opportunities Supervision 239 (BCBS239) through the embedment of Risk Data Aggregation and Risk Reporting (RDARR) principles practices and ensure alignment to the Group Risk Data principles and governance Monitor the activities Supervision (BCBS) 239 Principles for effective risk data aggregation and risk reporting to provide RDARR effectiveness and provide support to stakeholders to capture their inputs Prepare the RAFA packs in preparation
company with a fast-paced environment is looking for a Data Engineer Deliver Intelligent systems at scale. Powering (cross-functional) and Customer Development areas through data and analytics. Building out the right applications and future-looking decisions leveraging Big Data & Data Science. Winning disproportionately. Creating & internal data, and presenting this in a way that is simple for our teams. Make data a true asset asset. Better data and data science access for every part of the business, across the 3 data frameworks (Connectivity
We are seeking a passionate and hands-on Data Engineer to contribute to the development of our revolutionary customers, and stakeholders to establish a robust data pipeline. ● Serve as a cornerstone in the company's with Spark and Airflow. ● Proficient in data pipelines, ETLs, data warehouses, etc. ● Working knowledge demands. We are seeking a passionate and hands-on Data Engineer to contribute to the development of our customers, and stakeholders to establish a robust data pipeline. ● Serve as a cornerstone in the company's
Senior Sales Specialist: Data
Our client in the digital solutions industry value and capabilities of an ever-expanding data platforms, data management and analytics eco-system environment
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