About Store No8
We are the incubation arm of Walmart. Store No8 was formed in 2017 as part of Walmart's larger innovation mission to shape the future of commerce. We pursue big ideas and take risks by stepping outside of Walmart's core business to focus on leapfrog capabilities across conversational commerce, mixed reality, in-store digitization, and more. Our ultimate goal: fuel Walmart's core business, create new operational efficiencies, and unlock amazing experiences for our customers in the long-term.
This team within Store No8 is reimagining how families shop and manage their households. They are hard at work designing new products that simplify the shopping experience and integrate naturally into a customer's routine.
About the Role
Walmart Conversational Commerce is a new conversational commerce shopping service that is focused on empowering our time-sensitive busy Walmart families to express their needs in any way and any moment so that they can focus on the things that matter. We believe that we will create a differentiated customer experience for Walmart customers, and our goal is to deeply enhance the retail relationship and optimize it for the digital world. We are building a hard-working passionate team to join us as we have fun delighting customers, changing the retail landscape, and driving technical innovation.
As a member of the Conversational Commerce team, you will help us bring in the data and insights that allow us to champion for the customer at every step of their product journey. This role will report into the Senior Technical Business Analyst.
What You'll Do
Write and deploy fully optimized and documented ETL/ELT pipelines, as needed by Business Analysts and Product Managers. You should be equally comfortable communicating with technical and non-technical staff in scoping and executing engineering tasks.
Provide solutions for deploying machine learning models into production. This could include feature set generation; model artifact storage; prediction serving, explain ability, and monitoring; and/or configuring cloud hardware.
Help develop and create a robust platform for automating the deployment of analytics and data science pipelines to be used by other members of the data engineering team, as well as non-technical users.
Bachelor's degree in Engineering, Computer Science, Math or a related technical field or equivalent relevant experience and 4+ years experience in a data engineering, ML engineering, or technical data analytics role
4+ years experience creating production-ready data pipelines in Python, or equivalent
Experience with SQL and ETL optimization techniques, especially within cloud-based data warehouses like Snowflake, BigQuery, and/or Redshift
Command line experience and familiarity with version control software (Git)
Experience with data pipeline management technologies with dependency checking, such as Airflow, as well as schema design and dimensional data modeling
Ability to leverage tools, business intuition, and attention to detail for data validation and QA
Excellent communication skills, particularly when explaining technical or complex matters to non-technical leaders and teammates
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate., Option 1: Bachelor's degree in Computer Science and 3 years' experience in software engineering or related field. Option 2: 5 years' experience in
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud, Master's degree in Computer Science or related field and 3 years' experience in software engineering
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