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The purpose of the Data Engineer is to leverage their data expertise and data related technologies, in line with the company Data Architecture Roadmap, to advance technical thought leadership for the Enterprise, deliver fit for purpose data products, and support data initiatives. In addition, Data Engineers enhance the data infrastructure of the company to enable advanced analytics, machine learning and artificial intelligence by providing clean, usable data to stakeholders.
Data Modelling and Schema Build: In collaboration with Data Modellers, create data models and database schemas on the Data Reservoir, Data Lake, Atomic Data Warehouse and Enterprise Data Marts. Data Quality and Data Governance: Ensure that reasonable data quality checks are implemented in the data pipelines to maintain a high level of data accuracy, consistency and security.
Experience with cloud computing platforms such as AWS, Azure, and GCP. Experience with data visualization tools. Result-driven, analytical creative thinker, with demonstrated ability for innovative problem solving.The purpose of the Data Engineer is to leverage their data expertise and data related technologies, in line with the company Data Architecture Roadmap, to advance technical thought leadership for the Enterprise, deliver fit for purpose data products, and support data initiatives.
Data Modelling and Schema Build: In collaboration with Data Modellers, create data models and database schemas on the Data Reservoir, Data Lake, Atomic Data Warehouse and Enterprise Data Marts. Data Quality and Data Governance: Ensure that reasonable data quality checks are implemented in the data pipelines to maintain a high level of data accuracy, consistency and security.
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