financial services have an opportunity for a Data Engineer who will take responsibility for systems for a big data warehouse to implement robust and trustworthy data to support high performing algorithms, predictive models and support real-time data visualisation requirements across the organisation l>
JAVA, Azure, Cloud is looking for an Azure Data Engineer. The unique positioning gives maintaining Big Data Pipelines using Data Platforms
various parties, driving results, verification and capturing of information into the Service Desk Application Must be able to use Microsoft Office Proficient data entry skills Proficient in English 2 years' experience description Ensure detailed and accurate solution is captured into the call when resolving the call Responsible resolution Responsible for ensuring that all details captured into call management system are accurate, error
extended. Job Summary Support data collection, current state analysis, data creation, verification, and defined locations, time studies, measurements, and data analyses. The position requires an individual with define, collate, document, and communicate the data migration and verification requirements. Collaborate Contacts) to analyze, generate and capture where needed “missing” master data and correct issues in real-time process, chemical), Computer Science, Statistics, Data Science, Information Science, Science (Biochemistry
and support test case creation. Coordinate test data creation with the developers and test analysts. feasibility. Technical Test Case creation. Clear defect capturing. Defect workflow adherence. Managing and communicating Identification, Creation & Sanitation of Test Data Manual & Automatic Test Execution. Maintenance
RESPONSIBILITIES: Analyse Business requirements Capture user stories and validate with customer Provide
implementation and support. Analyse Business requirements Capture user stories and validate with customer Provide
Writing test cases, Test Execution, and Defect capture. Planning and effort estimation for test case execution completion from a testing perspective Coordinate test data creation with the developers Track new/changed requirements
the lineage and data flow design aspects of the program. This includes creating data flow diagrams (DFDs) (DFDs), defining data models, ensuring data lineage, and implementing data governance policies on AWS software development with a focus on data lineage, data modeling, and data flow design. Proven experience with particularly in the context of data management and governance. Strong understanding of data governance principles practices. Proficiency in creating data flow diagrams (DFDs) and data models.
have) Exposure to / knowledge of how trades are captured/booked and how they feed through the clearing