the lookout for a Data Engineer to join their team.Â
The purpose of the Data Engineer is to leverage leverage their data expertise and data related technologies, in line with the Company’s Data Architecture purpose data products, and support data initiatives. In addition, Data Engineers enhance the data infrastructure intelligence by providing clean, usable data to stakeholders. They also create data pipelines, Ingestion, provisioning solutions around big data that support the Bank's strategy to become a data driven organisation.
for a Data Engineer to join their team. The purpose of the Data Engineer is to leverage their data expertise expertise and data related technologies, in line with the Company's Data Architecture Roadmap, to advance purpose data products, and support data initiatives. In addition, Data Engineers enhance the data infrastructure intelligence by providing clean, usable data to stakeholders. They also create data pipelines, Ingestion, provisioning and solutions around big data that support the Bank's strategy to become a data driven organisation Software
Prepares, transforms, models data and resolves conflicting sources of data and anomalies • Supports the Agile ceremonies • Implement methods to improve data reliability and quality • Combines raw information formats • Develop and test architectures that enable data extraction and transformation for predictive or Cooperate with the Business Analyst, Data Architect and Data Visualisation Developer throughout these in extracting value and features from large scale data and toolsets • Modern code development practices
Job Title: Data Engineer (SAS)
Location: Remote
Data Engineer to join their dynamic team. If you are passionate about data engineering and
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Job Description:
As a Data Engineer (SAS), you will play a crucial role in
client's data infrastructure. You will work closely with cross-functional teams to ensure data is accessible
Spark, as well as a proven ability to handle complex data engineering tasks.
Key Respo
international expertise has a vacant position for an AWS Data Engineer to work within a team solving complex problems expertise in data modelling Oracle SQL Exceptional analytical skills analysing large and complex data sets Perform testing and data validation to ensure the accuracy of data transformations Building data pipeline using using AWS Glue or Data Pipeline, or similar platforms Preparing specifications from which programs will technical documentation and artefacts Working with Data Quality Tools such as Great Expectations Developing
Prepares, transforms, models data and resolves conflicting sources of data and anomalies • Supports the Agile ceremonies • Implement methods to improve data reliability and quality • Combines raw information formats • Develop and test architectures that enable data extraction and transformation for predictive or Cooperate with the Business Analyst, Data Architect and Data Visualisation Developer throughout these in extracting value and features from large scale data and toolsets • Modern code development practices
Digital Solutions, Database, Business Intelligence and Data Analytics solutions. CyberPro's expertise spans range of modern software development, digital and data technologies and vendors, with a focus on Microsoft Software and System development 3. System integration, Data integration and migration 4. Web and Mobile Digital Digital solutions 5. Business Intelligence, Big Data and Data Analytics 6. Workflow and Robotics Process Automaton which will populate the Data Warehouse. Develop and enhance the back-end of the Data Warehouse to satisfy
Digital Solutions, Database, Business Intelligence and Data Analytics solutions. CyberPro's expertise spans range of modern software development, digital and data technologies and vendors, with a focus on Microsoft Software and System development 3. System integration, Data integration and migration 4. Web and Mobile Digital Digital solutions 5. Business Intelligence, Big Data and Data Analytics 6. Workflow and Robotics Process Automaton which will populate the Data Warehouse. Develop and enhance the back-end of the Data Warehouse to satisfy
a Testing client is looking for a skilled Junior Data Analyst for their Johannesburg and Durban offices of competency. Experience 1 - 2 years' relevant data analysis experience in a professional working environment
scouting for a Senior Data Engineer. You will be responsible for developing high quality data warehouse solutions in an Azure environment using Synapse, Data Lake, Azure Data Factory, Wherescape and PowerBI The groups similar fields like Information Systems, Big Data Azure Data Engineer Certification would be advantageous ADF and Data Lake Experience in developing data warehouses and data marts Experience in Data Vault and DataOps environment Experience working with automated data warehousing solutions would be advantageous Minimum