Build and document automated data pipelines from a wide range of data sources with an emphasis on automation and scale.
Develop highly available applications and APIs to support near-real-time integrations using an AWS-based technology stack.
Ensure product and technical features are delivered to specification and on-time in a DevOps environment.
Contribute to overall architecture, framework, and design patterns to store and process high data volumes.
Develop solutions to measure, improve, and monitor data quality based on business requirements.
Design and implement reporting and analytics features in collaboration with product owners, reporting/data analysts, and business partners within an Agile/Scrum methodology.
Proactively support product health by building solutions that are automated, scalable, and sustainable, with a relentless focus on minimizing defects and technical debt.
Provide post-implementation production support for data pipelines.