urgently looking for an extremely professional Sales Admin to join their team. Responsibilities: Answering Sales analysis, tracking customer activity General admin i.e. filing Excellent customer interaction skills
Digital Solutions, Database, Business Intelligence and Data Analytics solutions. CyberPro's expertise spans range of modern software development, digital and data technologies and vendors, with a focus on Microsoft Software and System development 3. System integration, Data integration and migration 4. Web and Mobile Digital Digital solutions 5. Business Intelligence, Big Data and Data Analytics 6. Workflow and Robotics Process Automaton Telecommunication · The Data Engineer will be responsible for transforming data into actionable insight
quickly (3 rings max) Manage reception area Manage office supplies Filing of Invoices Dealing with export and delivered Matric 2 - 3 years reception and admin experience Own reliable transport
ungently needs to appoint a experienced Warehouse Admin Clerk, based at Aeroton. Relevant experience is holidays. • Receive, capture and check stock. • Issue stock to operations. • Daily office activities include: printing, data entry Processing paperwork. • Assist with cycle counts. • Work directly with the Admin Manager
partner is looking for a highly analytical Fraud Data Scientist to join their team Job Description: A A leading financial institution is seeking a Data Scientist to join their fight against fraud. In this use your expertise to uncover hidden patterns in data and develop solutions that empower better decision-making Expertise: Provide deep knowledge and guidance for future data-driven projects focused on fraud and analytics. industry-wide and for individual clients. Data Management & Quality: Manage data quality issues related to fraud
Linux / Unix
- Big Data
- Powershell / Bash
- Cloud Data Hub (CDH)
- CDEC Blueprint
- Expertise in data modelling with Oracle SQL.
- Exceptional analytical
complex data sets.
- Thorough testing and data validation to ensure the accuracy of data transformations
Knowledge of data formats such as Parquet, AVRO, JSON, XML, CSV, etc.
- Experience with Data Quality
APIs.
- Experience building data pipelines using AWS Glue or Data Pipeline, or similar platforms.
partner is looking for a highly analytical Fraud Data Scientist to join their team Job Description: A A leading financial institution is seeking a Data Scientist to join their fight against fraud. In this use your expertise to uncover hidden patterns in data and develop solutions that empower better decision-making Expertise: Provide deep knowledge and guidance for future data-driven projects focused on fraud and analytics. industry-wide and for individual clients. Data Management & Quality: Manage data quality issues related to fraud
space and has embarked on an exciting, strategic, data modernization program that will equip them to better looking for someone who can help to ensure that the Data Services deliveries to both internal and external functional, non-functional, and business aspects of the data pipeline and analytics solutions. Identify areas to validate the functionality, performance, and data integrity of the Azure Databricks environment. Utilize reliability of the data pipeline. Data Validation and Quality Assurance: Develop automated data validation scripts
An amazing opportunity for a Senior Data Engineer to join a multinational organization that produces work with feature teams to design and implement data extraction, cleaning, analysis, visualization, and database types to target data containers for the purpose of migrating data to cloud technologies If you Assist in creating data pipelines from source to target platforms. Experience in Data validation and verification to transform data from source to target for analytical purposes (Business Objects/Data Lakes) and migration
Digital Solutions, Database, Business Intelligence and Data Analytics solutions. CyberPro's expertise spans range of modern software development, digital and data technologies and vendors, with a focus on Microsoft Software and System development 3. System integration, Data integration and migration 4. Web and Mobile Digital Digital solutions 5. Business Intelligence, Big Data and Data Analytics 6. Workflow and Robotics Process Automaton 5. Telecommunication The Data Engineer skill is required to enable the data lifecycle within EDS, namely