Reference: PE000962-CP-1 Our client is looking for an Associate to join their firm. Requirement Matric Minimum
have an open role for a Cloud Data Engineer to execute data engineering duties according to the standards maintain complete data architecture across several application platforms Analyse data elements and systems loading of data Build, create, manage and optimise data pipelines Create data tooling, enabling data consumers consumers in building and optimising data consumption Execute on the design, definition and development of performing root cause analysis on internal and external data and processes Knowledge of integration patterns
Nigel Frank International Senior Data Engineer (AWS, Azure or GCP) This leading AI and development consultancy for 3 x Senior Data Engineers on an exclusive basis. Their seasoned teams of data engineers, AI specialists specialists and data scientists help create custom solutions for their clients leveraging the latest AI technologies team and are exciting to bring on 3 x Senior Data Engineers to join their journey. What you will be doing Design, build and maintain scalable data pipelines Optimise data models for ingestion and processing
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
for a highly analytical person with a knack for data analysis. Involving manipulation, modelling and between various data sources and business processes involving data flow. The Data Engineer will also be 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
Development: Creation of services, reports and applications as per business requirements, and agreed deadlines. Support: Responsible for assisting IT and IS support personnel in solving technical problems. Documentation: Comprehensive documentation of new and existing systems at a technical level to
This role is for a Senior Data Engineer to help build and maintain scalable data pipelines and related systems for designing, developing, testing, and deploying data solutions that meet the business requirements Collaborate Collaborate with all stakeholders to ensure data quality, reliability, accessibility, security and governance technical aspects of all data pipelines Support ETL processes including, data ingestion, transformation Optimize data performance, scalability, and security. Provide technical guidance and support to data analysts
businesses are in search of a Data Engineer with the capabilities of utilising data, machine learning, statistical the effective use of data by utilising cutting-edge technologies and model data preparation. Responsibilities: Qualifications: Degree in Computer Science/ Engineering/ Mathematics/ Business Commerce/ Information
skilled Intermediate Data Scientist to join their team. As an Intermediate Data Engineer, you'll be pivotal pivotal in using data-driven insights to inform business strategies and enhance operations. Collaborating measuring the success of data science initiatives. Design and implement data visualization tools and dashboards with emerging technologies and best practices in data science, machine learning, and artificial intelligence Mathematics, or a related field. 2 years of experience in data analysis, machine learning, and predictive modeling
Concern in Joburg seeks a highly technical Data Engineer whose core role will be to drive, design & ETL systems for a Big Data warehouse to implement robust & trustworthy data to support high performing algorithms, predictive models and support real-time data visualisation requirements across the organisation experience and understanding in designing and developing data warehouses according to the Kimball methodology processes. SQL development experience, preferably SAS data studio and AWS experience including in-depth knowledge