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
and designing the data integration architecture.
Implement and managing the Data Architecture landscape
landscape.
Data modelling and to assist when working with complex Data and multiple data sources.
Data Strategy, Managing the Master Data processes.
Establish data ownership and accountability
/>Experience in Data architecture, Data Warehousing, Data Integration, Data Modelling, Data Governance, Master
Master Data Management, SAP MDM experience is essential.
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insights from data and solving complex business problems? We're looking for a skilled Data Scientist
identify data sources, and create engaging Power BI reports and dashboards.
enterprise standard ETL/ ELT processes as well as data lakes and a focus on code-based techniques and collaborative infrastructure.
My client in the government sector is looking for Data Scientist x 2
Location: Onsite
Responsibilities
Data acquisition, data cleansing, data transformation
Machine learning
We are currently seeking a skilled Data Analyst to join our team. In this role, you'll you'll play a crucial part in analyzing data to provide valuable insights that drive business decisions Business Intelligence Data Analyst Africa during time of absence.
As a Data Scientist with us, you'll play a pivotal role in leveraging advanced analytics and machine
extract actionable insights from vast amounts of data. Your responsibilities will include:
Collaborating
teams to identify business challenges and develop data-driven solutions.
Designing and implementing
assessment, and fraud detection.
Utilizing big data technologies and cloud platforms to analyze and
datasets efficiently.
Conducting exploratory data analysis and feature engineering to uncover hidden
Investigate data quality issues with the wider team and suggest solutions.
7.Communicate complex data insights
teams to develop data-driven solutions and strategies.
9.Develop and implement data validation checks
checks to ensure accuracy and completeness of data.
10.Competencies
11.Strong problem-solving
ability to translate abstract business problems into data queries.
Requirements:
12.Honours degree
considered.
14.Min 4 - 6 years of experience in data analysis or a related field.
15.Strong proficiency
Job Title: Data Analyst
Employment Type: