Data Engineer, Air Data, Analytics & Business Intelligence, Amazon Air

DESCRIPTION Do you want to join one of the most exciting teams at the world's most customer-centric company? Then come soar with Amazon Air! The AIR Data, Analytics & Business Intelligence(DABI) team's vision is to offer the data infrastructure, and data applications/ processes/ practices to enable the AIR business to achieve its goal to leverage its capacity, speed, quality of service, and organic infrastructure to delight Amazon customers worldwide.
As a Data Engineer, you will analyze large amounts of business data, solve real world problems, and develop solutions to support that will enable us to continually delight our customers worldwide. You will also work with a team of Program Managers, BIEs, BAs and Software Engineers to acquire business use case required datasets, automate and scale the data pipelines, and to make the data more actionable to support business at scale. You will own many large datasets, implement new data pipelines that feed into or from critical reports, models and data systems at Amazon.


Responsibilities include, but are not limited to:
• Design, develop, and maintain new and existing data pipelines to drive key business decisions.
• Design, implement, and support a platform providing secured access to large datasets.
• Recognize and adopt best practices in data integrity, test design, analysis, validation, and documentation.
• Tune data pipelines and query performance using profiling tools and SQL.
• Analyze and solve problems at their root, stepping back to understand the broader context.
• Learn and understand a broad range of Amazon's data resources and know when, how, and which to use and which not to use.
• Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS.
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets.
We are open to hiring candidates to work out of one of the following locations:
Bellevue, WA, USA BASIC QUALIFICATIONS - 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)