Data Engineer II - Amazon Logistics

Job Description

Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast Have you wondered where it came from and how much it cost Amazon to deliver it to you If so, the WW Amazon Logistics, Business Analytics team is for you. We manage the delivery of tens of millions of products every week to Amazon s customers, achieving on-time delivery in a cost-effective manner.Amazon seeks a passionate, results-oriented, Data Engineer to identify strategic initiatives that will form the next generation of Amazon Logistics. We strive to solve complex cost and cycle time optimization problems that no one has solved yet. Are you up for the challenge and ready to further develop your skills and long-term career Look no further.As an Amazon.com Data Engineer you will be working in one of the worlds largest and most complex data warehouse environments. This individual should have deep expertise in the design, creation, management, and business use of extremely large datasets. This high impact role will have an opportunity to help design and build our data infrastructure from the ground up, work with emerging technologies such as Redshift, while driving business intelligence solutions end-to-end: business requirements, workflow instrumentation, data modeling, ETL, metadata, reporting, and dashboard development. He/she should be an expert at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. This individual should also be able to work with business customers in understanding the business requirements and implementing reporting solutions. The role requires someone who loves data, understands enterprise information systems, and has a strong business sense.Responsibilities include: Conduct deep dive investigations into business problems and identify potential opportunities Identify and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers Work with in-house scientists, global supply chain, transportation and logistics teams, and software teams to identify new features and projects Work with Last Mile technology teams to drive automation of dashboards and analysis through smarter software systems Track realized savings and impacts, and communicate results with senior leaders This is an individual contributor role that will partner with internal stakeholders across multiple teams, gathering requirements and delivering complete solutions Maintain programs and data pipelines to support data visualization tools, . Master s degree in Computer Science or related fields 4+ years of relevant experience in one of the following areas: engineering, database engineering, business intelligence or business analytics. 4+ years of hands-on experience in writing complex, highly-optimized queries across large sets. 3+ years of experience in programming languages like Java, , NodeJS etc. Demonstrated strength in modeling, development, and warehousing Experience in working and delivering end-to-end projects independently. Knowledge of distributed systems as it pertains to storage and computing . Demonstrated industry leadership in the fields of Database and/or Data Warehousing, Data Sciences and Big Data processing Experience with AWS services including S3, Redshift, EMR, Kinesis and RDS Deep understanding of data, application, server, and network security Advanced knowledge and expertise with Data modelling skills, Advanced SQL with Oracle, MySQL, and Columnar Databases Advanced knowledge of Java, Python, Tableau and R. Ability to work on a diverse team or with a diverse range of coworkers 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/usWe believe passionately that employing a diverse workforce is central to our success and we make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, gender, disability, sexual orientation, race, religion or belief.

Keyskills :
commercial modelsdata visualizationcomputer sciencebig datadebuggingbusiness analyticsenterprise information systemstest designsqldocumentationdata warehousingdata integritypythonedwdata modeling