Computer Science, Data
Data Engineer - Gauteng Locations: Centurion l Johannesburg l Cape Town Working model: Hybrid Specification: Specification: The Data Engineer will have a knack for data analysis, data manipulation, and data modelling. experience as a Data Engineer / Database Developer. Experience in data mining, large scale data modelling and working experience in data integration and transformation. Experience implementing data modelling methodologies Modelling and / or Data Vault. Working knowledge of data quality processes and master data management. Experience
Computer Auditing / Information Systems / Auditing / Data Science as majors)
years' experience in data engineering
PBT Group has an opportunity for a Data Architect. The data architect will define, design and deliver multi-year vision to drive the maturity of enterprise data assets. The position will be responsible for the performance and strategic input into the data platform and data assets. You will need to provide technical implementing, and maintaining data models and database designs to build the data “lakehouse”. The role also support, and enhance the business intelligence or data platform
for batch data processing and created Glue Catalog for metadata sync up
5 years experience as a Data Specialist.
As a Data Analyst you will be responsible for analyzing large sets of financial data to support our business
business operations and drive data-driven decision making.
Responsibilities:
data related to the bank's financial operations
talented Data Analyst who will be responsible for sourcing and transforming a wide range of data across end-users to develop differentiating business insights. Data Analysts should be skilled in SAS, GCP, Python and using a variety of data tools, analysis methods and data visualization to turn data into actionable insights end-user discussions.
talented and experienced Data Modeler to join our dynamic team at iOCO. As a Data Modeler, you will play maintaining data models that facilitate efficient storage, retrieval, and analysis of data across various with stakeholders, including business analysts, data scientists, and IT professionals, to understand business requirements and translate them into robust data models.
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What you’ll do
logical, and physical data models to support business requirements and data analysis needs.