scouting for a Senior Data Engineer. You will be responsible for developing high quality data warehouse solutions in an Azure environment using Synapse, Data Lake, Azure Data Factory, Wherescape and PowerBI The groups similar fields like Information Systems, Big Data Azure Data Engineer Certification would be advantageous ADF and Data Lake Experience in developing data warehouses and data marts Experience in Data Vault and DataOps environment Experience working with automated data warehousing solutions would be advantageous Minimum
Our Client a Global Tech firm is seeking a Senior Data Engineers to join their team in Randburgon a contract fully vaccinated.
The Data Engineer skill is required to enable the data lifecycle within EDS, namely namely the ability to integrate data between the source system (golden/trusted) and the target database database (LOB), hence providing good quality data by applying the necessary framework/s and governance to whoever
develop software tools and data models to improve interpretation of mineralogical data (numerical, images) for and MNL with respect to labour and machine time capture, business governance, professional reporting, project documentation of work and procedures is appropriately captured and produce advanced professional level reports conference contributions. Minimum: MSc / MEng in Data Science, Computer Science, Engineering (Electronic/electrical) PhD 3- 5 years or more experience in the field of data and image (2D/3D) analysis applications using commercial/open
develop software tools and data models to improve interpretation of mineralogical data (numerical, images) for and MNL with respect to labour and machine time capture, business governance, professional reporting, project documentation of work and procedures is appropriately captured and produce advanced professional level reports conference contributions. Minimum: MSc / MEng in Data Science, Computer Science, Engineering (Electronic/electrical) PhD 3- 5 years or more experience in the field of data and image (2D/3D) analysis applications using commercial/open
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 businesses and particular expertise in: 1. Insurance 2. Banking 3. Wealth and Investments 4. Retail 5. Telecommunication
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 businesses and particular expertise in: 1. Insurance 2. Banking 3. Wealth and Investments 4. Retail 5. Telecommunication
employees in your organization, through valuable data and a high-level view, in order to boost performance resistance throughout the organization • Conduct data collection, feedback analysis and corrective action development • Facilitation skills Change Management Banking Institution
employees in your organization, through valuable data and a high-level view, in order to boost performance resistance throughout the organization • Conduct data collection, feedback analysis and corrective action development • Facilitation skills Change Management Banking Institution
experience and quality
• Data Analysis and reporting: Analyze quality data to identify trends and areas bi-weekly calibration meetings, including analyzing data, creating the deck, and conducting the meeting with
leaning heavily on SQL Server to query or manipulate data for the in-house developed systems and reports as solve operational business requirements as well as data manipulation when needed. Creating ad-hoc queries improve existing SQL functionality. Working on large data sets in a live transactional environment with an extended functionality. Querying and summarising data across multiple servers and databases using linked including use of stored procedures, triggers, views, data types, keys indexes, constraints, foreign keys,