DESCRIPTION EKey Responsibilities: Prepares, transforms, models data and resolves conflicting sources of data and transformation for predictive or prescriptive modelling Responsible for technical testing services across Backend) Experience of relational and NoSQL data modelling approaches Experience of at least one packaged packaged ETL tool Technical expertise with data models, data mining, and segmentation techniques Extensive hands-on hands-on experience with BW Data modelling and SQL database design Data engineering certification (e
data-related solutions (Data Warehouse, Reports, Tabular Models, etc.) Pro-actively generate and implement process Documenting and refining technical requirements Data modeling requirements Source to target mappings and documentation
• Ensure tasks are completed to program • 3D Modelling and detailing • Quality audit on outgoing drawings high level of Computer Aided Drawing (CAD) and modelling expertise and engineering knowledge. • Assist
engineering, data preparation, development of statistical models, strategy development, monitoring and tracking
engineering, data preparation, development of statistical models, strategy development, monitoring and tracking
ignition sources for majority of vehicle makes and models. Experience with camera fitments. Knowledge of
and maintained project finance-based financial models for investments including return analysis, investment Water / Oil & Gas sectors Proven financial modelling skills gained with high levels of proficiency Advisory, Energy, Water, Oil & Gas, financial modelling, MS Excel
and maintained project finance-based financial models for investments including return analysis, investment Water / Oil & Gas sectors Proven financial modelling skills gained with high levels of proficiency Advisory, Energy, Water, Oil & Gas, financial modelling, MS Excel
Integrations, Automations, Data Management, Data Modeling. You will collaborate with the Business Intelligence various sources into an analytics-ready data model. This model will be built on the premise of growth as Leadership teams to develop a warehouse using data modeling best practices. Managing Integrations with other best practices and processes. Design agile data models. Implement meta-data driven ELT/ELT data pipelines actionable manner. Familiarity in data mapping, data modeling and data management Familiarity with Agile methodology
budgeting and forecasting, conduct ad hoc financial modeling and internal controls, and mitigate risks.