Senior Data Engineer

Sunnyvale, CA, United States

What you'll do...

As a Walmart Data Engineer, 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’ lives.

About Team:

Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.

What you'll do:

Data Modeling: Influences the overarching data strategy and vision for data pipelines and data products. Oversees and governs the expansion of existing data architecture and the optimization of data query performance via best practices. Presents and socializes data models to business and information technology stakeholders.

Data Architecture: Designs, implements and improves processes in data management.

Leads and participates in medium- to large-scale, complex, cross-functional projects by reviewing project requirements. Translating requirements into technical solutions. Gathering requested information, writing and developing the code. Communicating status and issues to team members and stakeholders, collaborating with project team and cross functional teams. Troubleshooting open issues and bug-fixes. Enhancing design to prevent reoccurrences of defects, ensuring on-time delivery and hand-offs. Daily interacting with project manager to provide input on project plan and providing leadership to the project team.

Develops 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.

Leads the work of other small groups of six to ten engineers, including offshore associates. Leads assigned Engineering projects by providing pertinent documents, direction, and examples: identifying short- and long- term solutions and timeline. Reviewing and approving proposed solutions, implementing new architectural patterns and performing design and code reviews of changes.

What you'll bring:

Well versed with Hadoop, Hive, Spark using Scala.

You evangelize an extremely high standard of code quality, system reliability, and performance.

You have a proven track record coding with at least one programming language (e.g., Java, Python).

You’re experienced in computing platforms (e.g., GCP, Azure).

You’re skilled in data modeling & data migration protocols.

Experience with ThoughtSpot, Druid, and Big Query is added advantage.

Experience with the integration tools like Automic, Airflow.

Ability to write requirements for ETL and BI developers.

Ability to write designs for data architecture of data warehouse or data lake solutions or end to end pipelines.

Expert in data architecture principles, distributed computing.

Intake prioritization, cost/benefit analysis, decision making of what to pursue across a wide base of users/stakeholders and across products, databases and services.

About Walmart Global Tech

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

Flexible, hybrid work:

We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.

Benefits:

Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Equal Opportunity Employer:

Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.

The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

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