Create and maintain optimal data pipeline architecture; adopt new technologies to improve existing frameworks of data flow and monitoring
Assemble large, complex data sets that meet functional / non-functional business requirements
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies; take necessary steps to implement necessary changes in the IT infrastructure such as MDM tool acquisition, data lake design, cloud solutions implementation in coordination with IT and technology coordinator
Create data tools for analytics and data science team members that assist them in building models by automating and simplifying data preparation
Translate customer data strategy into actionable data integration plans and execute these plans
Maintain 360 degree view of customer, enhance the customer datamarts by continuously integrating new sources of data
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