Aws senior data engineer

Purpose of the Position To collect and validate business information (which can then be used by data scientists and business stakeholders). To design and implement data models and architectures that enable business stakeholders to gain insights from large-scale datasets. To design and develop ETL processes, pipelines, and data validation processes to ensure accuracy and consistency of data. To identify valuable data assets, in order to reduce duplication and enable faster delivery of deeper insights to the ST Operational reporting. Identify key drivers and value creators within user journeys. Developing and maintaining dashboards, reports, and visualizations that provide insights into key business metrics and trends. To help the organizations leverage their data to make informed decisions and improve business outcomes. Qualifications Minimum suitable tertiary qualification or an equivalent. Post graduate qualification would be advantageous. Cloud Technology Certifications in Databricks...