Responsibilities: Perform data cleaning, preparation, reporting, and data analysisAssemble large, complex sets of data that meet non-functional and functional business requirementsPerform data extraction, aggregation, and quality checking from multiple sources and tables in support of trend identification, root cause analysis, and validation of the performance measuresSupport development and maintenance of a data pipeline and data warehouseSupport troubleshooting data pipeline and data warehouse issuesCreate and maintain optimal data pipeline architectureImplement processes and systems to monitor data quality, ensuring production data is alwaysaccurate and available for key stakeholders and business processes that depend on itDesign data integrations and data quality frameworkPerform data analysis required to troubleshoot data related issues and assist in the resolution of data issuesQualifications: Graduate of BS Mathematics, Computer Science, Information Management, Information Technology or StatisticsHas at least 3 years of experience in data engineering in a customer or business facing capacityA strong understanding of data modelling, data structures, databases, and ETL processesStrong technical understanding of Data Analytics concepts, data warehouses and marts reporting and visualizationsExperience using data extraction and analysis tools, such as SQL and PythonWith at least one year experience in Power BITechnical expertise regarding data models, database design, ETL development, and data miningWith skills in predictive modelingGeneral understanding of ETL/ELT frameworks, error handling techniques, data quality techniques and their overall operationStrong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracyPossess excellent oral and written communication and interpersonal skills
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