Data Pipeline - Develop and maintain scalable data pipelines and builds out new API integrations
to support continuing increases in data volume and complexity
Data Integration - Connect offline and online data to continuously improve overall
understanding of customer behavior and journeys for personalization. Data pre-processing
including collecting, parsing, managing, analyzing and visualizing large sets of data
Data Quality Management - Cleanse the data and improve data quality and readiness for
analysis. Drive standards, define and implement/improve data governance strategies and
enforce best practices to scale data analysis across platforms
Data Transformation - Processes data by cleansing data and transforming them to proper
storage structure for the purpose of querying and analysis using ETL and ELT process
Data Enablement - Ensure data is accessible and useable to wider enterprise to enable a deeper
and more timely understanding of operation
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