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
- Interpreting data and analysing results using statistical techniques and provide on-going reports.
-Develop and implement databases, data collection systems, data analytics and other strategies that
-Acquire data from primary or secondary data sources and maintain databases/data systems.
-Identify
trends or patterns in complex data sets.
-Filter and "clean" data by reviewing computer reports
prestigious institution
Proven experience as a Data Engineer or in a similar role, with a portfolio
g., MySQL, PostgreSQL)
Proficiency with big data tools (e.g., Hadoop, Spark, Kafka)
Familiarity
such as Python, Java, or Scala
Knowledge of data pipeline and workflow management tools (e.g., Airflow
one who wishes to delve deep into the realms of data engineering and contribute to projects that wield
Certification
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have an opportunity for a Data Engineer who will take responsibility for driving, designing and building 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