DESCRIPTION

Job summary
Are you interested in being part of a high visibility, strategic team that directly impacts the Blink business worldwide? Blink was the result of one of the most successful crowdfunding campaigns ever and is now part of Amazon Devices, the consumer electronics division that brings you the Kindle, Fire Tablets, Fire TV, and Echo. Our mission is to provide peace of mind for home owners while they are way from home using our wire-free, battery-operated smart home security cameras.

We are looking for motivated self-starters that can work in an extremely fast paced environment. The successful candidate can be a single-threaded owner of multiple facets of Blink’s data infrastructure, building out the infrastructure platform for Blink’s fast-growing Business Intelligence team.

Key job responsibilities

• Design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science
• Develop the end-to-end automation of data pipelines, making datasets readily-consumable by visualization tools and notification systems
• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS technologies
• Manage AWS resources including EC2, Redshift, Glue, Lambda, CloudWatch, S3, etc
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers

BASIC QUALIFICATIONS

• 3+ years of experience as a Data Engineer or in a similar role
• Experience with data modeling, data warehousing, and building ETL pipelines
• Experience in SQL

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline, or equivalent work experience
• Experience with Python

PREFERRED QUALIFICATIONS

• Master’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline
• 5+ years of experience as a Data Engineer or in a similar role in a company with large, complex data sources
• Track record of data management fundamentals and data storage principles
• Experience working with AWS technologies (Redshift, S3, Glue, Lambda, EC2)
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
• Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
• Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
• Experience providing technical leadership and mentoring other engineers for best practices on data engineering

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.