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(USA) Senior, Data Engineer - job 1 of 11

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

At Walmart, we are excited to offer an incredible opportunity for a Senior Data Engineer to join our People Data Engineering Team in Fayetteville, AR. In this role, you'll help us manage vast datasets at a scale that impacts millions of associates around the globe. Our Enterprise People Technology team is dedicated to enhancing our people technology and products, ensuring managers and associates can efficiently support our customers' needs. As a Senior Data Engineer, you’ll design, build, test, and deploy cutting-edge solutions that will optimize our data applications and uphold high standards of data quality and governance. Your expertise in big data technologies like Hadoop, Apache Spark, and SQL is vital as you develop high-performance solutions that drive value from data on a massive scale. You will collaborate with engineering teams across various locations, making your contributions invaluable to our technical community. We seek someone with at least 4 years of experience in data engineering, cloud technologies, and data modeling to join our dynamic team. Here at Walmart Global Tech, you’ll have a chance to innovate, enhance your skills, and help shape the future of retail technology. Come join us – your work will support the very core of our business and make a difference in people's lives every day!

Frequently Asked Questions (FAQs) for (USA) 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 primary responsibilities will include developing scalable solutions for extracting, transforming, and loading big data, ensuring data quality and governance, and collaborating with engineering teams to optimize data applications. You will directly impact millions of customers worldwide through the innovative design and deployment of cutting-edge data solutions.

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

To qualify for the Senior Data Engineer role at Walmart, you need a Bachelor’s or Master’s degree in Computer Science or a related field, coupled with at least 4 years of experience in big data technologies and data pipeline development. Proficiency in tools like Hadoop, Apache Spark, and SQL is essential, along with strong data modeling skills.

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What skills are essential for the Senior Data Engineer role at Walmart?

Critical skills for the Senior Data Engineer position include expertise in big data technologies (Hadoop, Apache Spark), Proficiency in SQL for data analysis, experience with cloud platforms (preferably GCP, AWS, or Azure), and strong data modeling capabilities. Additionally, experience in building workflows with orchestration tools like Airflow is highly valuable.

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How does the Senior Data Engineer contribute to Walmart's mission?

The Senior Data Engineer plays a pivotal role in Walmart's mission by developing data solutions that enhance operational efficiency and improve decision-making capabilities globally. By ensuring high-quality, accessible data, the engineer helps Walmart meet the needs of its associates and customers alike.

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What benefits does Walmart offer to its Senior Data Engineers?

Walmart offers a robust benefits package for Senior Data Engineers, including competitive salary, performance-based bonuses, stock options, comprehensive health plans, a 401(k) match, paid parental leave, and additional perks like tuition reimbursement and career development opportunities through the Live Better U program.

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Common Interview Questions for (USA) Senior, Data Engineer
What strategies do you use to ensure data quality in your projects?

To ensure data quality, I implement rigorous data validation and cleaning processes. This includes conducting data audits, implementing automated quality checks, and utilizing frameworks that can identify anomalies. I prioritize establishing clear data governance standards to guide the workflow.

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Can you describe your experience with big data tools and technologies?

I have extensive experience with big data technologies such as Hadoop and Apache Spark, where I have built and optimized data pipelines. I’m proficient in utilizing tools like Apache Hive for data querying and transformation, and I’ve also worked with cloud platforms like GCP for scalable data solutions.

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How do you approach designing a data model?

When designing a data model, I start by understanding the specific requirements of the project, focusing on scalability and flexibility. I ensure the schema can accommodate evolving data sources and facilitate seamless data joins. Collaborating with stakeholders helps inform my design decisions.

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What are idempotent workflows, and why are they important?

Idempotent workflows ensure that repeated executions have the same effect as a single execution. They are crucial as they improve data integrity and prevent errors in data processing. I often use tools like Airflow to build these workflows, which enhance fault tolerance.

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Describe a challenging data engineering project you worked on and how you overcame obstacles.

One challenging project involved migrating a large dataset to a new cloud platform while maintaining data integrity. I developed a comprehensive plan, leveraging ETL processes to validate data continuity throughout the migration. Regular testing along the way helped identify issues early, ensuring a smooth transition.

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How do you ensure compliance with data governance standards?

I ensure compliance with data governance by actively documenting processes, maintaining transparency, and setting up regular review meetings with stakeholders. I also implement automated monitoring tools to track compliance and amend processes when regulations change.

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What is your experience with orchestration tools?

I have used Airflow extensively for orchestrating data workflows. I appreciate its ability to schedule tasks, monitor execution, and handle dependencies, which improves the overall efficiency and reliability of data processing tasks.

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How do you approach working with cross-functional teams?

I believe effective communication is key when working with cross-functional teams. I regularly share updates, solicit feedback, and leverage diverse expertise to solve complex problems together. Building rapport with team members fosters collaboration and innovation.

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What role does SQL play in your data engineering work?

SQL is critical in my data engineering work for querying and manipulating data. I frequently use it to perform data analysis and optimizations, ensuring that the datasets are accurate and effectively support business intelligence needs.

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

I want to work as a Senior Data Engineer at Walmart because I'm passionate about using data to drive real-world impact. The opportunity to contribute to a global leader in retail, while enhancing data solutions that support millions of customers and associates, deeply resonates with my professional values and goals.

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Full-time, on-site
DATE POSTED
December 12, 2024

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