Data Engineer, Retail Services

Salary depends on experience
Posted on 02/22/18
Seattle, WA
e-Commerce
Salary depends on experience
Posted on 02/22/18

With tens of thousands of active vendors supplying millions of unique products, Amazon presents real opportunities to solve problems that no other company in retail faces. How do you manage one of the world's largest vendor bases and enable them to grow their business using automated tools and lean processes? How do you prioritize selection growth initiatives across various vendor and brand leads? How do you build scalable solutions to drive supply chain cycle time improvements? How do you drive consistent inventory management strategies across different businesses and optimize procurement? How do you setup a scalable process to manage our catalog, partner internally, partner externally, and run self-service merchandising programs? These are the types of challenges the VMS team is looking to address.

The role will be part of Retail Systems Business intelligence team that supports WW VMS program. The team is looking for a talented, smart, and experienced Engineer to help us build an exceptional platform to support business reporting, data analysis, and machine learning applications. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. You should be expert at designing, implementing, and operating stable, scalable, low cost solutions to flow data from disparate storage systems into centralized data store and into end-user facing applications. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions. Above all you should be passionate about working with large data sets and someone who loves to bring both structured and unstructured datasets together to answer business questions and drive change. You will provide guidance and support for other engineers with industry best practices and direction.

As a Engineer on our team,you will create data visualizations and maintain the underlying platform for business users to be more productive. The right candidate will possess a proven track record of analytical prowess, ability to work with many stakeholders, bias for action, and technical aptitude.you will develop new data pipelines that leverage cloud architecture and perform transformations on existing data to support new use cases. You will also be assisting with building out Redshift as our primary data warehouse solution to create the curated data model for the enterprise to leverage. You will be helping us build Tableau visualizations as our presentation layer. This is an exciting opportunity to learn emerging AWS-built analytics services as an actual part of the Amazon organization.


BASIC QUALIFICATIONS

Experience using Tableau Desktop and Tableau Server and Advanced skills with Tableau Server
Excellent Knowledge of data warehousing concepts
Experience in ETL and databases in a business environment with large-scale, complex datasets
Strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams.
Experience in gathering requirements and formulating business metrics for reporting
Optimizing the performance of business-critical queries and dealing with ETL job-related issues
Tuning application and query performance using Unix profiling tools and SQL
Modeling data and metadata to support ad-hoc and pre-built reporting
Expertise in statistical tools (SAS, R) for large-scale data processing and analysis


PREFERRED QUALIFICATIONS

Advanced presentation skills and the ability to guide and influence senior leadership
Experience with Tableau to create dashboards and interactive reports
Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc) to build ETL pipelines
Understanding of data warehousing and data modeling
Experience with AWS services including S3, Redshift, EMR amd AWS Command line knowledge.

Job ID: 624135

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