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Responsibilities
• Design, develop, and implement data infrastructure and pipelines that ingest and transform data from various external sources, storing it in highly optimized database systems, and making it useful to our application and reporting layers.
• Create automation systems and tools to configure, monitor, and orchestrate data infrastructure and pipelines.
• Create data integration services to help onboard new customers as quickly as possible.
• Maintain ongoing reliability, performance, and support of the data infrastructure, providing solutions based on application needs and anticipated growth.
• Participate in creating and maintaining strict compliance, data privacy and security measures.
• Develop robust and production-level code to implement new product features in collaboration with other engineers and subject-matter experts.
• Identify and resolve performance and scalability issues, troubleshoot problems, and improve product quality.
• Collaborate with the Front-End Development team to thread the right information through to forward facing applications.
• Interface with the Development Operations colleagues to evaluate and implement methodologies and workflows to facilitate the frequent and continuous release of high-quality software.
• Work closely with Data Science colleagues to implement descriptive and predictive algorithms and models using the latest technologies.
• Keep up to date on emerging technology solutions, particularly those on AWS, for continuous improvements in data engineering.
• Help recruit highly capable engineers to the team from diverse backgrounds.
• Mentor and be mentored by engineers of varied experience levels and subject areas.
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