Data Engineer III

Job description

Position Summary...

What you'll do...

Job Description

As a part of Walmart Global Tech, you'll build industry defining reusable customer and partner facing services and products to drive differentiated experiences and revenue. You will be in the unique position to be of service to both our customers and our associates as a member of this organization supporting all segments of Walmart.

If you're the one who strives for excellence by continual research and application of effective data engineering techniques and best practices from across industries, has a strong sense of ownership, enjoys solving complex problems, this role is for you.

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, you will dig into our mammoth scale of data to help unleash the power of retail data engineering by imagining, developing, and maintaining data pipelines . 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 other Engineering Teams and business stakeholders to solve complex and exciting challenges so that we can build out capabilities that evolve the retail business m odel while making a positive impact on our customers' lives.

What You'll Do

  • Using data integration techniques to build refined, high impact data sets from complex multi-platform environments (cloud and on-prem) that integrate diverse, large scale internal and external data sources.
  • Developing learning systems to analyze and filter continuous data flows, driving toward increasingly lower latency so our users can utilize our data as a single source of truth for building models, reporting, applications that help reflect what is happening in our business right now.
  • Combining a sense of urgency and expert knowledge of data structures to solve and enhance complex computing performance challenges, so that we can optimize and scale algorithms
  • Identifying, developing and delivering improvements on data performance, data quality and cost
  • Being a passionate adopter and ambassador for data governance practices and processes.

What You'll Bring

  • You're an inquisitive, out-of-the box thinker who's continually on the lookout for opportunities to improve and innovate data systems and analytic solutions
  • 3+ years of experience with 1+ years of Big Data development experience
  • Design, develop and build data pipelines to power Big Data analytical systems.
  • Create real time data streaming and processing using Kafka and/or Spark streaming.
  • Design, configure and implement systems that can scale to process terabytes of data between heterogeneous systems on premise and cloud.
  • Experience in HDFS, Hive, UDF's, Spark Framework, Scala, Python, Shell Scripting, Unix.
  • Expertise on Hadoop ecosystem on cloud.
  • Demonstrates expertise in writing complex, highly optimized ETLs across large data sets.
  • Work with business customers, product managers and engineers to design feature-based solutions and implement them in an agile fashion.
  • Retail experience and knowledge of commercial data is a huge plus.

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: 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.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor's degree in Computer Science and 2 years' experience in software engineering or related field. Option 2: 4 years' experience in

software engineering or related field. Option 3: Master's degree in Computer Science.

Preferred Qualifications...

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, Master's degree in Computer Science or related field and 2 years' experience in software engineering or related field

Primary Location...

1901 N HENDERSON AVE, DALLAS, TX 75206-7319, United States of America

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