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Software Development Engineer - Amazon Alexa Analytics

Santa Barbara, CA 93101
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Job Details


Alexa is Amazon€™s groundbreaking virtual assistant designed for voice interactions. We believe voice is the most natural interface for interacting with technology across many domains. We are looking for a Software Development Engineer (SDE) to join our Analytics team located in beautiful Santa Barbara, CA.

If you love building scalable data infrastructure and machine learning applications, this role is for you. Your work will empower data engineers, knowledge engineers, business intelligence engineers, business analysts, product managers, and fellow SDEs to make Alexa smarter. You will take complete ownership over feature design, prioritization, and implementation. You will commit code several times a day. You will launch fast and iterate quickly to build amazing features at mind-numbing speeds.

Key Responsibilities:
· Write bullet-proof code that scales
· Participate in product prioritization and development
· Execute on sprints to address system scalability, feature development
· Collaborate with teams across the organization to iterate on design, test functionality, and evangelize feature adoption
· Own the design, development, and maintenance of data infrastructure that supports large-scale data extraction, transformation, aggregation, ingestion, and query execution
· Build intuitive data products and visualization tools

Amazon is an Equal Opportunity-Affirmative Action Employer €“ Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation


· Bachelor's degree in Computer Science or equivalent work experience
· 1+ year of relevant work experience with at least one major programming language: Java, Python, JavaScript, PHP, Python, C++, Ruby, etc.
· 1+ year of experience working on a server-side programming language and an understanding of the HTTP protocol
· 1+ year of experience building distributed cloud applications


· Proficiency in SQL and NoSQL databases
· Experience with AWS technologies (Redshift, Athena, RDS, S3, EMR) and Hadoop ecosystems (Spark, MapReduce, YARN, Hive, etc.)
· Experience with machine learning and classification algorithms
· Experience in writing and optimizing SQL queries with large-scale, complex datasets
· Detailed knowledge of data warehouse technical architecture, infrastructure components, ETL and reporting/analytic tools and environments
· Experience with large datasets (billions of rows)
· Comfortable working in a UNIX environment
· Proficiency in distributed cloud applications

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