(USA) Staff, Data Engineer, Big Data

Position Summary...

What you'll do...

Job Summary 

At Walmart, we help people save money, so they can live better. This mission serves as the foundation for every decision we make and drives us to create the future of retail. We can’t do that without the best talent – talent that is innovative, curious, and driven to create exceptional experiences for our customers.    

Do you have boundless energy and passion for engineering data used to solve dynamic problems that will shape the future of retail? With the sheer scale of Walmart’s environment comes the biggest of big data sets. As a Walmart Data Engineer in Marketplace, you will dig into our mammoth scale of data to help unleash the power of retail data science by imagining, developing, and maintaining data pipelines that our Data Scientists and Analysts can rely on.  You will be responsible for contributing to an orchestration layer of complex data transformations, refining raw data from source into targeted, valuable data assets for consumption in a governed way. You will partner with Data Scientists, Analysts, other engineers and business stakeholders to solve complex and exciting challenges so that we can build out capabilities that evolve the retail business model while making a positive impact on our customers’ and sellers’ lives. 

About the Data and Customer Analytics (DCA) Organization:  

Our organization focuses on managing and delivering world-class data assets, including creating and maintaining data standards, driving policy compliance, creating partnerships, and developing pipelines and self-service tools. We empower our business to leverage data to fuel growth, driving revenue in our core and building new business model opportunities.   

What you'll do:   

• You will use cutting edge data engineering techniques to create critical datasets and dig into our mammoth scale of data to help unleash the power of data science by imagining, developing, and maintaining data pipelines that our Data Scientists and Analysts can rely on. 

• You will be responsible for contributing to an orchestration layer of complex data transformations, refining raw data from source into targeted, valuable data assets for consumption in a governed way. 

• You will partner with Data Scientists, Analysts, other engineers, and business stakeholders to solve complex and exciting challenges so that we can build out capabilities that evolve the marketplace business model while making a positive impact on our customers' and sellers’ lives. 

• You will lead the discovery phase of medium to large projects to come up with high level design by partnering with the product management, Web Operations, project management, business and user experience teams. Obtaining cross-function approvals, driving proof-of-concept and implementing prototypes to validate ideas. 

• You will develop Innovation strategies, processes and best practices by leading internal technical teams.  Partnering with cross-functional teams across the business. Developing assessments of key opportunities, documenting project scopes, developing long-range plans and project timelines.  Communicating with and influencing decision-makers and executives within the organization and resolving technology differences across teams through informed discussions.  

• Utilizes industry research to improve Wal-Mart's technology environment by analyzing industry best practices, benchmarking industry against internal processes and solutions. Researching or influencing future industry solutions for fit with internal needs and defining software development guidelines, standards and processes.  

• You will drive the execution of multiple business plans and projects by identifying customer and operational needs. Developing and communicating business plans and priorities, removing barriers and obstacles that impact performance. Developing contingency plans and demonstrating adaptability and supporting continuous learning. 

• You will provide guidance and mentorship to junior data engineers. 

• You will design, develop and maintain highly scalable and fault-tolerant real time, near real time and batch data systems/pipelines that process, store, and serve large volumes of data with optimal performance. 

• You will ensure data ingested and processed is accurate and of high quality by implementing data quality checks, data validation, and data cleaning processes. 

• You will identify possible options to address business problems within one's discipline through analytics, big data analytics, and automation. 

• You will build business domain expertise to support the data need for product teams, analytics, data scientists and other data consumers. 

What you'll bring: 

• Bachelor's