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(IND) SENIOR, DATA ENGINEER - job 2 of 2

Position Summary...

Walmart’s Global Sourcing Technology team is responsible for building and maintaining software that enables Walmart to Source the best quality products at the lowest possible price and pass that savings to our customers so they can Save Money and Live Better. Walmart is investing in transforming the Global Sourcing business by enhancing the user experience with the latest technology and we are looking for talented individuals who can use their engineering and leadership skills to help our teams solve complex problems. You will be part of the application development team leading software design and implementation, problem solving, as our customers evolve and adapt, we are taking it a few notches further here. We’re changing what customers can expect from the experience of shopping, from the physical stores, to mobile, social and even online; we’re not just ready for the future of shopping, we’re creating it.
We take great pride in our entrepreneurial culture and the strength of our engineering team. If that sounds exciting to you, we want to talk to you about joining us.

What you'll do...

About Team

At Walmart Global Tech, we leverage Generative AI to transform data into actionable insights. We are seeking a Senior Data Engineer to design scalable pipelines and data infrastructure to support cutting-edge AI solutions.

As a Senior Data Engineer, you’ll collaborate with ML Engineers and Data Scientists to build and optimize the data foundation for Generative AI and Large Language Model (LLM) applications.

What You Will DO

  • Develop scalable ETL/ELT pipelines to process large structured and unstructured datasets.
  • Manage distributed data systems (e.g., Hadoop, Spark, Big Query) to support AI workflows.
  • Partner with ML Engineers to create data schemas and integrate vector databases like FAISS or Pinecone for RAG frameworks.
  • Ensure data quality, optimize performance, and monitor pipelines for reliability.
  • Automate workflows and explore emerging tools for AI-driven data engineering.

What You Will Bring

  • 6+ years of experience in data engineering with expertise in frameworks like Spark, Kafka, or Airflow.
  • Proficiency in SQL, Python, and cloud platforms ( GCP, Azure).
  • Experience with distributed systems, data modeling, and working with unstructured data.
  • Familiarity with vector databases and AI integration.
  • Support for ML/AI teams in training and inference workflows.
  • Knowledge of feature stores and MLOps tools.
  • Exposure to Generative AI frameworks and LLM use cases.

Basic Qualifications: 

    • Bachelor's degree in engineering with 7-10 years of experience in design and development of highly scalable applications and platform development in product-based companies or R&D divisions  
    • Excellent problem solving, critical thinking and communication skills.  
    • Must be able to work effectively both on teams as well as be self-motivated, task oriented and organized. 
    • Ability to adapt to change quickly, willingness to learn new and emerging technologies.  
    • Strong customer focus and obsession with quality. 

    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 with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, 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 a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.

    Belonging

    We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.

    At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.

    Minimum Qualifications...

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

    Minimum Qualifications:Option 1: Bachelor's degree in Computer Science and 3 years' experience in software engineering or related field. Option 2: 5 years' experience in software engineering or related field. Option 3: Master's degree in Computer Science and 1 year's experience in software engineering or related field. 2 years' experience in data engineering, database engineering, business intelligence, or business analytics.

    Preferred Qualifications...

    Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

    Primary Location...

    Pardhanani Wilshire Ii, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India
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    Average salary estimate

    $135000 / YEARLY (est.)
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    What You Should Know About (IND) SENIOR, DATA ENGINEER, Walmart

    Are you ready to dive into an exciting role as a Senior Data Engineer with Walmart's Global Sourcing Technology team? Here at Walmart, we're not just changing the way our customers shop; we're redefining the entire retail experience! In this dynamic role, you will lead the charge in developing scalable ETL/ELT pipelines and constructing robust data infrastructure to support our cutting-edge AI solutions. Your expertise will shine as you partner with Machine Learning Engineers and Data Scientists, working collaboratively to enhance our data foundation for Generative AI and Large Language Model applications. With your strong background in Spark, SQL, Python, and cloud platforms, you’ll tackle complex data challenges, ensuring reliability and data quality, while continuously innovating and automating workflows. We pride ourselves on having a culture that encourages creativity and self-motivation, enabling you to adapt and learn within a vibrant team focused on delivering top-tier technology. If you're eager to solve complex data problems and be part of a team that’s at the forefront of tech in retail, we can’t wait to hear from you! Join us in making a real impact and helping customers save money and live better.

    Frequently Asked Questions (FAQs) for (IND) SENIOR, DATA ENGINEER Role at Walmart
    What are the primary responsibilities of a Senior Data Engineer at Walmart?

    As a Senior Data Engineer at Walmart, your key responsibilities include designing and implementing scalable ETL/ELT pipelines, managing distributed data systems like Hadoop and Spark, and collaborating with Machine Learning Engineers to develop data schemas. You'll also ensure data quality, optimize performance, and monitor pipeline reliability while exploring automation and emerging tools for AI-driven data engineering.

    Join Rise to see the full answer
    What qualifications are required to become a Senior Data Engineer at Walmart?

    To qualify for the Senior Data Engineer role at Walmart, candidates typically require a Bachelor's degree in Engineering and 6+ years of experience in data engineering. Proficiency in SQL, Python, and knowledge of cloud platforms such as GCP or Azure is essential. Familiarity with distributed systems and AI integration will give you an edge in joining our groundbreaking team.

    Join Rise to see the full answer
    What skills are essential for a Senior Data Engineer at Walmart?

    Essential skills for a Senior Data Engineer at Walmart include strong expertise in Spark, Kafka, or Airflow, as well as solid programming skills in SQL and Python. Experience with data modeling, unstructured data, and familiarity with vector databases for AI integration are also critical to succeed in this position.

    Join Rise to see the full answer
    How does Walmart support the professional growth of a Senior Data Engineer?

    Walmart fosters a supportive environment for professional growth. As a Senior Data Engineer, you will have access to ongoing training, mentorship opportunities, and a culture that encourages innovation. With exposure to the latest technologies and hands-on experience in real-world projects, you will continually grow your skill set and career.

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    What is the work culture like for a Senior Data Engineer at Walmart?

    The work culture at Walmart for a Senior Data Engineer is entrepreneurial and inclusive. You’ll be part of a dynamic team focused on transforming the retail landscape using advanced technology, all while enjoying a flexible and hybrid work model that promotes a healthy work-life balance.

    Join Rise to see the full answer
    Common Interview Questions for (IND) SENIOR, DATA ENGINEER
    Can you explain your experience with ETL/ELT processes as a Senior Data Engineer?

    In your response, detail specific ETL/ELT projects you've worked on, the technologies you used, and how your contributions improved data processing efficiency. Highlight your problem-solving skills and ability to work with large datasets.

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    Describe a challenging data engineering problem you've faced and how you resolved it.

    Choose a specific example that showcases your analytical thinking and technical skills. Explain the context, your role in the solution, and the positive outcomes that resulted from your efforts.

    Join Rise to see the full answer
    How do you ensure data quality in your engineering processes?

    Discuss the methodologies and tools you've implemented to maintain data integrity, such as validating data inputs, monitoring data flows, and performing regular audits. Highlight your proactive approach to identifying and correcting data errors.

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    What experience do you have with distributed data systems?

    Provide an overview of your experience with systems like Hadoop, Spark, or Big Query. Mention any projects where you used these technologies and how they contributed to your team’s data handling and processing capabilities.

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    How do you collaborate with data scientists and machine learning engineers?

    Emphasize the importance of communication and shared goals in cross-functional teams. Describe specific instances where your collaboration resulted in successful data solutions or project outcomes.

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    Can you give an example of how you have automated workflows in data engineering?

    Share a specific example of a workflow you automated, the tools you used, and the impact it had on efficiency and productivity. Explain your thought process and the technology choices you made.

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    What do you know about Generative AI and its applications in data engineering?

    Showcase your understanding of Generative AI frameworks, discussing how they can be used in data engineering. Mention any relevant experience you have and your enthusiasm for emerging technologies in this field.

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    What strategies do you employ to stay updated on new data engineering trends?

    Share your approach to professional development, such as attending conferences, participating in online communities, or engaging in continuous learning through courses. Highlight your commitment to staying at the forefront of data engineering advancements.

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    How do you prioritize tasks and manage your workload as a Senior Data Engineer?

    Discuss your time management strategies, including how you determine project priorities, handle deadlines, and maintain productivity in a busy environment, ensuring that all tasks align with team goals.

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    How do you handle feedback on your data engineering work?

    Talk about your openness to feedback and continuous improvement mindset. Share examples of how past feedback has helped you refine your skills and produce better results in your projects.

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    "To save people money so they can live better.”

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    DATE POSTED
    April 20, 2025

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