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Full Stack Developer, Shopping/ eCommerce Technology Specialist
Ref No.: 18-04463
Location: Chicago, Illinois
Start Date / End Date: 05/21/2018 to 09/20/2018

• Consulting with internal stakeholders to understand technical needs, analyzing solution options and making a recommendation based upon your knowledge and experience
• Understand machine learning techniques to support the personalization logic requirements required to support the shopping experience
• Design and develop a solution to transfer product and order data between platforms
• Create a data model to ingest new partners and new retail verticals
• Collaborate with other teams across the organization (e.g., Data Science) to enable the better use and understanding of data
• Work with other teams across the organization (e.g., eCommerce, Brands, Analytics) to develop data reporting and data requirements
• Developing enterprise and consumer grade solutions
• Gaining technical knowledge of software and open source technology stacks
• Partnering with designers and user experience specialists to create consumer-first user experiences
• Bridging the gap between elegant front-end design and existing enterprise backend architectures


• Previous professional experience working with Python, RabbitMQ, Django/ Flask, Rest Framework, Oauth, NLTK/SciKit and other Python packages
• You have created and deployed microservices
• Ability to use containers like dockers or kubernettes
• Experience working with agile methodology & dev ops geared towards cloud
• Strong knowledge of full stack development and Object Oriented development
• Familiarity with IOT integrations (ex: Alexa skill development process)
• Published apps, websites or other examples of solutions built
• You have worked with AWS, Azure, Google Cloud (preferred)
• You have front-end development experience: HTML5, JavaScript/ JQuery, CSS
• Experience with Angular, node.js and templating engines like Handlebars, Ninja, or equivalent
• You have worked with, and are proficient with Python ORMs; MVC pattern and frameworks; Rest API architecture, Postgres SQL and/or NoSQL databases like Cassandra (preferred) or Mongo
• iOS development experience helpful but not required
• Strong communication skills
• Strong data engineering background with prior experience in large-scale distributed data processing platforms such as Kafka, Spark, Kinesis
• A desire to learn and share your knowledge
• 1 year retail industry experience developing or supporting enterprise retail systems
• Familiarity with payment technologies such as Amazon Payments, Apple Pay, Stripe or Square
• Basic knowledge of machine learning & data science algorithms
• Familiarity with shopping cart technology
• Minimum of Bachelor degree preferably in MIS or equivalent IT field experience required.