person has experience in running projects that are data related at the enterprise level and also have experience
planning Understand data locking concepts and different levels of locking Experience with data anonymization
during migration activities.
Requirements
The Data Analytics: Data Engineer role is responsible for understanding the full lifecycle of a BI Project solution to business. Continuous development of Markets Data Analytics Platform is done by enhancing current out for new business requirements. Collaborate with Business and the Markets Data Analyst to understand understand the requirements and BI solution which meet the business needs. Collaborate within the team to determine determine the tasks required to deliver the Analytics solution. Contribute and add value to architecture
seeks an IT Data Scientist proficient in interpreting and analyzing data. Our client provides data analysis and make strategic decisions. The goal of the IT Data Scientist is to help organizations make discoveries /Information Management ITIL Certification Certified Data Scientist -Microsoft /AWS Understanding of the ITIL years' experience in Business Intelligence field – data visualisation and analytics Key responsibilities: information is archived and can be easily retrieved if required. Implemented enterprise (IT) wide knowledge sharing
client relationships.
management, and procurement.
Required Competencies:
Required Qualifications/Experience:
The Data Engineer will have a knack for data analysis, data manipulation and data modelling and will into technical strategy.
Required Qualifications:
experience as a Data Engineer / Database Developer.
Nigel Frank International Data Engineer Are you a talented and passionate Data Engineer with a strong background international clients. Their team comprises some of the best data engineers in South Africa, and they pride themselves clients. Role and Responsibilities: As a Senior Data Engineer, you will be an integral part of the team to the design, development, and implementation of data pipelines and systems. Your responsibilities will gather requirements and design scalable and efficient data solutions. Building and maintaining data pipelines
Performance Tuning and Optimization Data Security and Backup Data Integration and Migration Database Design