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 and Dimensional modelling techniques Experience working in a high availability DataOps environment Experience
mentor staff in insurance resources, standards, data, and contacts. Review claim submissions and determine eligibility and level of coverage. File claims, enter data, and update databases with current daily information
https://lumarecruiting.com/job/marketing-assistant-lab-supplies-jhb-lc_703/ ESSENTIALS BSc degree (Life Science benefits) DETAILS A well-established South African Lab Supplies distributor is looking for a qualified, experienced https://lumarecruiting.com/job/marketing-assistant-lab-supplies-jhb-lc_703/ Please note that only shortlisted
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
mentor staff in insurance resources, standards, data, and contacts. Review claim submissions and determine eligibility and level of coverage. File claims, enter data, and update databases with current daily information
Description
The Senior Quality Analyst is responsible for overseeing and ensuring the performance. Additionally, the Senior Quality Analyst assesses the quality of performance of contact experience and quality
• Data Analysis and reporting: Analyze quality data to identify trends and areas insights to senior management.
• Quality analyst may also be responsible for organizing the bi-weekly bi-weekly calibration meetings, including analyzing data, creating the deck, and conducting the meeting with
Analyse historical sales data, market trends, and customer forecasts to develop accurate demand forecasts statistical models and forecasting tools to predict future demand patterns. Proficient in data analysis excess inventory costs. Work closely with the supply chain team to align inventory levels with production to ensure seamless coordination across the supply chain. Communicate effectively with various departments procurement decisions. Proven ability to troubleshoot supply chain and shipping issues, implement corrective actions
Analyse historical sales data, market trends, and customer forecasts to develop accurate demand forecasts statistical models and forecasting tools to predict future demand patterns. Proficient in data analysis excess inventory costs. Work closely with the supply chain team to align inventory levels with production to ensure seamless coordination across the supply chain. Communicate effectively with various departments procurement decisions. Proven ability to troubleshoot supply chain and shipping issues, implement corrective actions
evidence relative to projects. Analysis of all relevant data, trending, and reporting activities on projects provide are effectively. protected. Analyse relevant data and review evidence gathered. Provide expert input project management system, ProofHub. Compilation of data and evidence gathered into comprehensive and concise and/or qualifications associated with government. supply chain and procurement management advantageous. Knowledge: terminology Detailed knowledge of Public Finance and Supply chain management advantageous Detailed knowledge of
develop software tools and data models to improve interpretation of mineralogical data (numerical, images) for development to extract appropriate information and modeling, simulation and interpretation of mineral behaviour 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 Coding and/or modelling experience, preferably with mineralogical/metallurgical/chemical data.