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(USA) Senior, Data Engineer - job 1 of 10

Position Summary...What you'll do...Come join our People Data Engineering Team @Walmart where you'll have the opportunity to manage people data at Walmart scale and make sure the consistent data is being utilized across transactional and analytical systems.About Team:The Enterprise People Technology team supports the successful deployment and adoption of new People technology across the enterprise. As a Fortune #1 company, our work impacts millions of associates globally. We strive to continuously improve people technology and products to help managers and associates so they can focus on what matters most - supporting our customers and members. People Technology is one of the major segments of Walmart Global Tech's Enterprise Business Services, which is invested in building a compact, robust organization that includes service operations and technology solutions for Finance, People, and the Associate Digital Experience.What you'll do:• Develop high performance and scalable solutions that extract, transform, and load big data.• Design, build, test and deploy cutting edge solutions at scale, impacting millions of customers worldwide to drive value from data at Walmart Scale• Support People Data applications ensuring Data Quality and Governance standards.• Interact with Walmart engineering teams across geographies to leverage expertise and contribute to the technical community.• Ensure data ingested and processed is accurate and of high quality by implementing data quality checks, data validation, and data cleaning processesWhat you'll bring:• Bachelor's/master's degree in computer science or a related field• 4+ years' experience in development of big data technologies/data pipelines• Expertise in big data technologies like Hadoop, Apache Spark (Scala preferred), Python, Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) to build batch data pipelines with strong focus on optimization, SLA adherence and fault tolerance.• Expertise in building idempotent workflows using orchestrators like Airflow.• Expertise in writing SQL to analyze, optimize, profile data preferably in BigQuery or SPARK SQL• Strong data modeling skills are necessary for designing a schema that can accommodate the evolution of data sources and facilitate seamless data joins across various datasets.About Walmart Global TechImagine 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.Walmart's culture is a competitive advantage, and it's fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates.Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey.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.At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.For information about PTO, see https://one.walmart.com/notices .Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.For information about benefits and eligibility, see One.Walmart .The annual salary range for this position is $90,000.00-$180,000.00Additional compensation includes annual or quarterly performance bonuses.Additional compensation for certain positions may also include:- StockMinimum 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 3 years' experience in software engineering or related field. Option 2: 5 years' experience insoftware engineering or related field. Option 3: Master's degree in Computer Science and 1 year's experience in software engineering or relatedfield.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.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, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.Primary Location...508 Sw 8Th St, Bentonville, AR 72712, United States of America
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What You Should Know About (USA) Senior, Data Engineer, Walmart

Are you ready to take your data engineering skills to the next level? Join Walmart as a Senior Data Engineer in Fayetteville, AR, where you’ll be a key player in our People Data Engineering Team! In this highly collaborative role, you’ll be managing people data on an impressive scale, ensuring that consistency and quality are maintained across both transactional and analytical systems. As part of our Enterprise People Technology team, your work will have a significant impact on millions of associates globally, enhancing their experience as you support the deployment of innovative people technology. You will design and build top-notch solutions that extract, transform, and load big data, allowing us to derive valuable insights that help us serve our customers better every day. With a focus on data quality and governance, you’ll ensure that every bit of data we handle is verified and reliable. This position is not just about the numbers — it’s about the real impact your work will have on our associates and the community at large. If you have a background in computer science or a related field, along with at least 4 years of experience in big data technologies like Hadoop and Apache Spark, we want to hear from you! Join us at Walmart Global Tech to innovate at scale and help redefine the future of retail.

Frequently Asked Questions (FAQs) for (USA) Senior, Data Engineer Role at Walmart
What are the key responsibilities of a Senior Data Engineer at Walmart?

As a Senior Data Engineer at Walmart, your primary responsibilities will include developing scalable solutions to manage large volumes of data, designing and deploying cutting-edge data applications, and ensuring data quality and governance. You'll also interact with various teams across the organization to contribute technical expertise, all while impacting millions of customers worldwide.

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What qualifications are needed for the Senior Data Engineer position at Walmart?

To qualify for the Senior Data Engineer role at Walmart, candidates should hold a bachelor's or master's degree in computer science or a related field. Additionally, a minimum of 4 years of experience with big data technologies, proficiency in programming (especially in Python and Scala), and strong SQL skills are essential for success in this role.

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What big data technologies should a Senior Data Engineer at Walmart be familiar with?

A Senior Data Engineer at Walmart should be experienced with various big data technologies, including Hadoop, Apache Spark, Apache Hive, and cloud platforms like GCP or AWS. Familiarity with orchestrators such as Airflow and SQL proficiency for data analytics and optimization are also vital for this role.

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How does Walmart value diversity in the Senior Data Engineer role?

Walmart believes that a diverse workforce is essential for its success and aims to create an inclusive environment for all associates. As a Senior Data Engineer, you will be part of a culture that embraces unique perspectives, experiences, and ideas to drive innovation and better serve our customers and communities.

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What career development opportunities exist for Senior Data Engineers at Walmart?

At Walmart, Senior Data Engineers have access to various career development resources, including training programs, mentorship opportunities, and the chance to participate in projects that impact millions. Walmart’s commitment to ongoing education through initiatives like 'Live Better U' further supports your professional growth.

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Common Interview Questions for (USA) Senior, Data Engineer
Can you explain your experience with big data technologies relevant to Walmart's needs?

Be prepared to discuss specific projects where you've utilized big data technologies such as Hadoop or Spark. Highlight the tools used, the challenges faced, and how your solutions impacted the organization. This shows your hands-on experience and ability to solve real-world problems.

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How would you ensure data quality and governance in your role as a Senior Data Engineer?

Demonstrate understanding by discussing methods like data validation checks, data cleaning processes, and the use of governance frameworks. Mention specific tools or practices you have used to maintain high data quality standards, emphasizing the importance of reliable data in decision-making.

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What is your approach to designing scalable data solutions?

Explain your strategic approach to designing data pipelines, focusing on scalability, efficiency, and fault tolerance. You can discuss your experience with cloud platforms, architectural patterns, or any performance testing you've conducted.

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Describe how you collaborate with cross-functional teams as a data engineer.

Provide examples of past collaboration with software engineers, data scientists, or other stakeholders. Highlight communication strategies and tools used to ensure smooth integration of data solutions across various teams.

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What tools and technologies do you prefer for building and managing ETL processes?

Share your preferred tools and technologies you have used for ETL processes, such as Apache Airflow or cloud-based ETL platforms. Additionally, touch on why you favor particular tools based on your project experiences and the requirements they fulfill.

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How do you approach troubleshooting a data pipeline in production?

Discuss your systematic approach to troubleshooting issues in data pipelines, including logging, monitoring, and alerting practices. Share an example where you successfully identified and resolved a pipeline issue in a timely manner.

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Can you give an example of a large-scale data project you've worked on?

Detail a significant project you worked on involving large-scale data processing, emphasizing your role, the challenges faced, and the outcomes. This illustrates your experience and ability to manage complex data tasks efficiently.

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How do you keep up with advancements in big data technology?

Discuss how you stay informed about the latest big data technologies and trends, such as attending webinars, enrolling in courses, reading industry blogs, or participating in relevant tech communities. This shows your commitment to continuous learning.

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What steps would you take to enhance the performance of a slow-running query?

Provide a logical approach for query optimization, mentioning techniques like indexing, partitioning, or rewriting the query for efficiency. Citing specific tools or techniques you've successfully implemented in the past would reinforce your answer.

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Why do you want to work as a Senior Data Engineer specifically at Walmart?

Articulate your desire to work at Walmart by expressing admiration for its innovative tech culture, the impact of your work on a global scale, and alignment with Walmart's values. Personalize your response with any specific initiatives at Walmart that resonate with you.

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Full-time, on-site
DATE POSTED
December 9, 2024

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