Senior Data Engineer
Senior Data Engineer
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1 Vacancy
Job Description
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Minimum Requirements:
- A bachelors degree in computer science Information Technology or Equivalent Qualification.
- 5 years of Data Engineering experience.
- Data warehousing concepts is advantageous.
- Ab Initio development experience (onprem and cloud) is essential.
- Exposure to UNIX and SQL (DB2 MS SQL and Netezza) and Oracle
- Exposure to Azure Cloud
- An agile working approach is essential.
- Should be a selfstarter who can work under minimal supervision.
- Able to work independently.
Responsibilities:
- Interpret requirements provided by the business and develop accurate and sustainable solutions from the planning stage through to the productionised solution.
- Analyse interpret and display data sets to ensure datadriven solutions that address challenges and business needs within Organisations.
- Ensure solutions adhere to standards and best practices and participate in solution reviews to ensure all solutions fit within standards.
- Operate within project environments and participate in CII continuous improvement efforts.
- Design and develop data models ETL processes and pipelines to support data ingestion transformation and analysis.
- Work with crossfunctional teams to identify data requirements prioritize data initiatives and drive solutions that enable datadriven decisionmaking.
- Develop and maintain dashboards reports and visualizations that provide insights into key business metrics and trends.
- Design and implement data quality and data validation processes to ensure the accuracy and consistency of data.
- Develop and maintain documentation for data models data lineage and data flow.
- Design and develop data models ETL processes and pipelines to support data ingestion transformation and analysis.
- Work with crossfunctional teams to identify data requirements prioritize data initiatives and drive solutions that enable datadriven decisionmaking.
- Develop and maintain dashboards reports and visualizations that provide insights into key business metrics and trends.
- Design and implement data quality and data validation processes to ensure the accuracy and consistency of data.
- Develop and maintain documentation for data models data lineage and data flow.
Employment Type
Full Time
