Data Engineer, Transportation Execution

Job description

DESCRIPTION

Are you interested in applying your technical and engineering skills to shape the world’s most complex supply chain fulfillment and transportation network? Are you interested in driving the development of methods, models and systems for state-of-the-art robotics, transportation and fulfillment systems? If so, then this is the job for you.

Amazon Global Transportation Technology team is responsible for building next-gen software to optimize and automate different aspects of our transportation network. As a Data Engineer you'll shape the data handling strategy; build robust data pipelines that feed several real time decision making/modeling systems; leverage strong data extraction and transformation skills to engineer reporting mechanisms; and support transportation network planning.

PREFERRED QUALIFICATIONS

· Masters in Computer Engineering, Information Systems or relevant field.
· Understand business processes, logical data models, and relational and non-relational database implementations
· Capable of investigating, familiarizing and mastering new data sets quickly
· Ability to transform and publish data such that it can be consumed by BI tools such as Quick Sight/Tableau
· Strong ability to interact, communicate, present and influence within multiple levels of the organization.
· Knowledge of AWS data systems and tools
· Strong organizational skills with ability to balance competing priorities

Amazon offers competitive packages including comprehensive health care, 401(k), restricted stock units, growth potential and a challenging and exciting work environment.

Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.

Desired profile

BASIC QUALIFICATIONS

· Bachelors in Computer Science, Computer Engineering or relevant field
· Expert in SQL with proficient knowledge of advanced SQL functions and database design
· 3+ years of relevant experience working and creating sophisticated data pipelines and BI reporting.
· 2+ years of experience in data modeling experience and using data models to improve the performance of software services.
· 2+ years of experience in programming or scripting language (R, Python, Ruby).
· 2+ years of experience in data warehouse and business intelligence application development.