Responsibilities for Data Engineer
·
Create and maintain optimal data pipeline architecture,
·
Assemble large, complex data sets that meet functional /
non-functional business requirements.
·
Identify, design, and implement internal process improvements:
automating manual processes, optimizing data delivery, re-designing infrastructure
for greater scalability, etc.
·
Build the infrastructure required for optimal extraction,
transformation, and loading of data from a wide variety of data sources using
SQL and AWS ‘big data’ technologies.
·
Build analytics tools that utilize the data pipeline to provide
actionable insights into customer acquisition, operational efficiency and other
key business performance metrics.
·
Work with stakeholders including the Executive, Product, Data
and Design teams to assist with data-related technical issues and support their
data infrastructure needs.
·
Keep our data separated and secure across national boundaries
through multiple data centers and AWS regions.
·
Create data tools for analytics and data scientist team members
that assist them in building and optimizing our product into an innovative
industry leader.
·
Work with data and analytics experts to strive for greater
functionality in our data systems.
