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Create andmaintain optimal data pipeline architecture.
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Assemble large, complex data sets that meetfunctional/non-functional business requirements.
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Identify, design, and implement internalprocess improvements : automating manual processes, optimizing data delivery,re-designing infrastructure for greater scalability, etc.
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Build the infrastructure required for optimalextraction, transformation, and loading of data from a wide variety of datasources using SQL and AWS 'big data' technologies.
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Build analytics tools that utilize the datapipeline to provide actionable insights into customer acquisition, operationalefficiency and other key business performance metrics.
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Work with stakeholders including theExecutive, Product, Data and Design teams to assist with data-related technicalissues and support their data infrastructure needs.
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Keep our data separated and secure acrossnational boundaries through multiple data centers and AWS regions.
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Create data tools for analytics and datascientist team members that assist them in building and optimizing our productinto an innovative industry leader.
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Work with data andanalytics experts to strive for greater functionality in our data systems.