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The purpose of the Senior Data Engineer for Insights and Reporting role is to design and implement data models and architectures that enable business stakeholders to gain insights from large-scale datasets.
This individual will work closely with cross-functional teams to understand business requirements and develop solutions that enable data-driven decision making. The Senior Data Engineer will be responsible for designing and developing ETL processes, pipelines, and data validation processes to ensure accuracy and consistency of data. They will also be responsible for developing and maintaining dashboards, reports, and visualizations that provide insights into key business metrics and trends. The purpose of this role is to help organizations leverage their data to make informed decisions and improve business outcomes.A Bachelors Degree in Computer Science, Information Technology or Equivalent Qualification Technology Certifications in Databricks, Azure, Data Engineering and other technologies highly advantageousProficiency in SQL, Python and other programming languages commonly used in data engineering.Experience in developing solutions in cloud technologies including but not limited to Azure, Databricks, SQL and Data LakeExperience in Dimensional ModelingInterpret requirements provided by business and develop accurate and sustainable solutions from the planning stage through to the productionised solution Analyse, interpret and display data sets to ensure data driven solutions that address challenges and business needs within Multichoice Ensure solutions adhere to standards and best practices and participate in solution reviews to ensure all solutions fit within standardsDesign and develop data models, ETL processes, and pipelines to support data ingestion, transformation, and analysis. Work with cross-functional teams to identify data requirements, prioritize data initiatives, and drive solutions that enable data-driven decision making 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 accuracy and consistency of dataLead technical delivery within squads and provide oversight of solutionsChallenge and contribute to development of architectural principals and patterns
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