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.
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innovative financial services have an opportunity for a Data Engineer who will take responsibility for driving ETL systems for a big data warehouse to implement robust and trustworthy data to support high performing algorithms, predictive models and support real-time data visualisation requirements across the organisation Responsibilities: Systematic solution design of the ETL and data pipeline in line with business user specifications to the approved solution design Ensure data governance and data quality assurance standards are upheld
enterprises as well as dynamic start-ups is looking for a Data Engineer to join an environment of like-minded engineers Responsibilities: Build data warehouse components on Teradata warehouse Present data on dashboards and visualisations visualisations on Power BI Comply with all data governance, like documenting data definitions and business glossaries delivering a client project at a financial Build data systems and pipelines Evaluate business needs and and patterns Conduct complex data analysis and report on results Prepare data for prescriptive and predictive
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management services have an open role for a Data Engineer to execute data engineering duties according to the maintain complete data architecture across several application platforms Analyse data elements and systems loading of data Build, create, manage and optimise data pipelines Create data tooling, enabling data consumers consumers in building and optimising data consumption Execute on the design, definition and development of performing root cause analysis on internal and external data and processes Knowledge of integration patterns
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
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