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
Ideally, they become a strategic partner and advisor to the client, discovering new opportunities to relationships with clients, acting as their trusted advisor for all technology-related matters. Understand ongoing satisfaction and identify areas for improvement. Act as the main point of contact for client satisfaction, gather feedback, and identify areas for improvement. Implement client satisfaction measurement tools tools and methodologies to track and improve client satisfaction levels. Account Planning and Growth:
specifications received from manager into usable engineering data applicable to the particular assignment. Requires personnel to solve complex problems.
staff, monitors communications, and recommends improvements to enhance the overall customer experience.
• Lead Quality Initiatives: Champion quality improvement initiatives and projects. Collaborate with internal Monitor and report on the effectiveness of quality improvement initiatives.
• Audit Management: oversee procedures. Recommend improvements to training and operations as needed to improve overall customer experience quality
• Data Analysis and reporting: Analyze quality data to identify trends and areas for improvement. Prepare
develop software tools and data models to improve interpretation of mineralogical data (numerical, images) for 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 preferably with mineralogical/metallurgical/chemical data.
develop software tools and data models to improve interpretation of mineralogical data (numerical, images) for 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 preferably with mineralogical/metallurgical/chemical data.
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 maintain, troubleshoot or improve existing SQL functionality. Working on large data sets in a live transactional and maintain constraints, keys and indexes to improve performance and maintain database integrity and using stored procedures and views. Maintain or improve existing Excel reports using VBA for extended functionality
stakeholders. Collect and analyze customer feedback to improve service quality and product offerings. Prepare management. Analyze sales data to identify trends, opportunities, and areas for improvement. Utilize CRM systems information. Identify and implement process improvements to enhance the efficiency and effectiveness
Analyse historical sales data, market trends, and customer forecasts to develop accurate demand forecasts to predict future demand patterns. Proficient in data analysis and interpretation, utilizing tools like and Netstock to identify trends and areas for improvement. Develop and maintain demand plans for various insights and recommendations for continuous improvement in demand and supply chain planning processes