Requirements
- Min of 5-8 years experience in data engineering
- Strong back end and front-end
Ab Initio (a bonus)
o Data APIs
- Will be required to build data warehouse components on Terradata
present data on dashboards and visualisations on PowerBI.
- Will have to comply with all data governance
governance, like documenting data definitions and business glossaries.
- Getting data models approved before
/>- related degree.
- 8+ yrs experience in data engineering.
- Familiar with one or more programming
perform data quality checks in a methodical manner to understand how to accurately utilize client data. Expert challenges of advanced data manipulation, complicated programming logic, and large data volumes is required Provides solutions for data driven applications involving large and complex data and providing reconciliation from source to end reporting data marts. Design Conceptual and physical data model for a global Datawarehouse practices/standards. Build monitoring and testing mechanisms on data transformations Continuous improvements on AWS in
Degree / Advanced or Higher Diploma
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Intermediate/Senior Data Scientist who can contribute to collecting, analysing, reporting, and interpreting data for development of business strategies. Responsibilities: Use data management systems to deliver prescribed outcomes outcomes. Collect, analyse, report, and interpret data for use in the development of business strategies. Employ mining, modelling, and testing techniques to enable data analysis. Communicate the project status back to 5 years working experience within an analytical, data science or computer science environment SAS SQL
Requirements: Sound knowledge in Python and Java Data Science concepts and principles Experience in tools applications. Architecture and Interface Design. Data modeling and Database technologies (relational,
related field