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Data Engineer III - Data Ventures - job 1 of 4

Position Summary...What you'll do...About Team: Data VenturesOur team creates reusable technologies to help with customer acquisition, onboarding, and empowering merchants, while ensuring a seamless experience for both stakeholders. We also optimize tariffs and assortment in accordance with Walmart's Everyday Low-Cost philosophy. We not only create affordability, but we also deliver customized experiences for customers across all channels - in-store, mobile app, and websites. Our team is responsible for providing support to US Marketplace sellers. We focus on providing immediate solutions to the cases/tickets created by sellers. We interact with multiple teams across the company to provide excellent seller experience.What you'll do:• Data Transformation and Integration: Extracts data from identified databases. Creates data pipelines and transform data to a structure that is relevant to the problem by selecting appropriate techniques. Develops knowledge of current analytics trends.• Data Source Identification: Supports the understanding of the priority order of requirements and service level agreements. Helps identify the most suitable source for data that is fit for purpose. Performs initial data quality checks on extracted data.• Data Modeling: Analyses complex data elements, systems, data flows, dependencies, and relationships to contribute to conceptual, physical, and logical data models. Develops the Logical Data Model and Physical Data Models including data warehouse and data mart designs. Defines relational tables, primary and foreign keys, and stored procedures to create a data model structure. Evaluates existing data models and physical databases for variances and discrepancies. Develops efficient data flows. Analyses data-related system integration challenges and proposes appropriate solutions.• Code Development and Testing: Writes code to develop the required solution and application features by determining the appropriate programming language and leveraging business, technical and data requirements. Creates test cases to review and validate the proposed solution design. Creates proofs of concept. Tests the code using the appropriate testing approach. Deploys software to production servers. Contributes code documentation, maintains playbook, and provides timely progress updates.• Applied Business Acumen: Provides recommendations to business stakeholders to solve complex business issues. Develops business cases for projects with a projected return on investment or cost savings. Translates business requirements into projects, activities, and tasks and aligns to overall business strategy. Serves as an interpreter and conduit to connect business needs with tangible solutions and results. Recommends new processes and ways of working.• Data Governance: Establishes, modifies, and documents data governance projects and recommendations. Implements data governance practices in partnership with business stakeholders and peers. Interprets company and regulatory policies on data. Educates others on data governance processes, practices, policies, and guidelines. Provides recommendations on needed updates or inputs into data governance policies, practices, or guidelines.• Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others. Supporting and aligning efforts to meet customer and business needs and building commitment for perspectives and rationales.• Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders. Identifying business needs, determining, and carrying out necessary processes and practices.• Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application, ensuring compliance with them.• Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives. Applying suggestions for improving efficiency and cost effectiveness; and participating in and supporting community outreach events.• Creates training documentation and trains end-users on data modeling. Oversees the tasks of less experienced programmers and stipulates system troubleshooting supports.What you'll bring:Must Have• Well versed with Hadoop, Spark, Cloud, Python/PySpark and Java, Streaming, Kafka, Backend.• You have a proven track record coding with at least one programming language (e.g., Scala, Python)• You're experienced in one of cloud computing platforms (e.g., GCP, Azure)• You're skilled in data modeling & data migration protocols.• Experience with GCP, Data warehousing, BI preferred• Experience with the integration tools like Automic, Airflow• Experience in building highly scalable Big Data solutions and ETL ecosystems.Nice to have• Knowledge of Databricks is an added advantage.• Hands on knowledge in NoSQL like Cosmos DB along with RDBMS like MySQL, Postgres is plus.• Hands on working experience in any messaging platform like Kafka is preferred.• Increase the efficiency of the team by setting right Processes of Software Development, Requirement Intake, Effort Estimation• Demonstrating creative, critical thinking & troubleshooting skills.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 .Sunnyvale, California US-04396:The annual salary range for this position is $117,000.00-$234,000.00Bentonville, Arkansas US-09050: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 2 years' experience in software engineering or related field. Option 2: 4 years' experience insoftware 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, 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...805 Se Moberly Ln, Bentonville, AR 72712, United States of America
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What You Should Know About Data Engineer III - Data Ventures, Walmart

Are you ready to take your career to the next level with Walmart as a Data Engineer III in Data Ventures? This exciting opportunity based in the vibrant town of Cassville, MO, allows you to be part of a dynamic team committed to creating reusable technologies that enhance customer acquisition and onboarding experiences. Your role will focus on data transformation and integration, where you'll be extracting data, building pipelines, and ensuring that our data is not only accurate but also optimally structured for decision-making. You’ll dive into data modeling, analyzing complex data flows, and creating efficient data architectures, all while leveraging your skills in tools like Hadoop, Spark, and various cloud platforms. Your knack for code development and testing will be essential as you contribute to building innovative solutions that bring value to our marketplace sellers. By partnering with business stakeholders, you'll not only solve complex challenges but also drive significant improvements in our data governance practices. At Walmart, we prioritize collaboration and creativity, and your experience with big data solutions and ETL ecosystems will elevate our team’s efficiency. We believe in fostering a supportive and productive environment where your professional growth is paramount. If you're passionate about data and eager to make an impact, let's connect and explore how you can shape the future of customer experiences with us!

Frequently Asked Questions (FAQs) for Data Engineer III - Data Ventures Role at Walmart
What are the key responsibilities of a Data Engineer III at Walmart in Cassville, MO?

As a Data Engineer III at Walmart, you'll be focused on several key responsibilities including data transformation and integration, where you'll extract and transform data to meet business needs. You'll also engage in data modeling, analyzing various data flows and dependencies, and developing logical data models. This role also encompasses coding, where you'll be writing efficient code and performing testing to ensure quality solutions. Moreover, you will play a crucial role in data governance, establishing documents, and practices to support data processes effectively.

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

For the Data Engineer III role at Walmart, candidates must have at least a Bachelor's degree in Computer Science or equivalent work experience. Alternatively, 4 years of professional experience in software engineering is considered acceptable. Familiarity with data modeling, coding in languages such as Python or Java, and hands-on experience with cloud computing platforms like GCP or Azure are also essential qualifications.

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What skills are crucial for success as a Data Engineer III at Walmart Data Ventures?

To thrive as a Data Engineer III at Walmart, it is critical to have robust skills in data modeling, transformation, and integration. Knowledge of technologies such as Hadoop, Spark, and coding languages like Python or Scala is vital. Additionally, experience with data warehousing solutions, big data processing, and familiarity with ETL ecosystems significantly enhances your effectiveness in this role.

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How does Walmart foster employee growth for Data Engineers?

At Walmart, employee growth is a top priority, especially for Data Engineers. You'll have access to various development opportunities, including the Live Better U program, which funds education and professional development courses. The collaborative environment promotes knowledge sharing, and mentorship from experienced team members helps you elevate your skills and advance in your career.

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What benefits does Walmart offer to Data Engineer III employees?

Walmart provides a comprehensive benefits package for its employees, including competitive salaries, performance-based bonuses, health benefits encompassing medical, vision, and dental coverage, and a 401(k) retirement plan with a company match. There are also generous paid time off policies, family leave, education assistance programs, and many more that contribute to a positive work-life balance.

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Common Interview Questions for Data Engineer III - Data Ventures
Can you describe your experience with data transformation and integration as a Data Engineer?

When answering this question, outline specific examples of projects where you successfully extracted and transformed data. Discuss the tools and techniques you used, such as Python or Spark, and emphasize how you ensured the integrity and relevance of the data for business needs.

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What programming languages are you proficient in, and how have you used them in your previous data projects?

Be prepared to discuss the programming languages you are well-versed in, such as Python or Java. Share relevant projects where these languages played a key role, including challenges you faced and how you overcame them. Highlight any libraries or frameworks you utilized to streamline your development process.

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How do you approach data modeling in your role as a Data Engineer?

Your response should showcase your understanding of data modeling concepts. Discuss how you analyze data flows and relationships, how you choose between logical and physical data models, and the specific tools you use to create these models, such as ER diagrams or data visualization tools.

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Can you explain an instance where you improved an existing data pipeline?

This is your chance to shine by sharing a specific example where you identified inefficiencies in a data pipeline, the steps you took to redesign or optimize it, and the measurable outcomes you achieved. Use metrics to illustrate the improvements in processing time or data accuracy.

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How familiar are you with data governance practices?

Discuss your understanding of data governance and how it plays a role in your work as a Data Engineer. Highlight any experience you have in establishing data governance policies, ensuring data compliance, and educating teams about best practices related to data management.

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What is your experience with cloud platforms in your data engineering roles?

Share your experience working with cloud platforms such as GCP or Azure. Talk about specific projects where you've utilized these platforms for data storage, processing, or analytics, and discuss the benefits those platforms provided in terms of scalability and efficiency.

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How do you stay updated on the latest trends in data engineering?

Mention your methods for keeping up with industry changes, such as following relevant blogs and forums, participating in online courses, attending conferences, or contributing to open-source projects. This shows your commitment to continuous learning and staying at the forefront of data engineering innovations.

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Can you provide an example of a challenging problem you solved in a data engineering context?

Prepare a response that details a specific challenge you encountered, the analysis you performed, the solution you developed, and the impact it had on the project or team. This will demonstrate your problem-solving skills and analytical thinking.

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How do you prioritize your workload when handling multiple data projects?

Share your strategies for time management and prioritization, such as utilizing project management tools or methodologies. Discuss how you assess project urgency and impact while maintaining communication with stakeholders to ensure alignment on expectations and deliverables.

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How can you contribute to improving team efficiency as a Data Engineer?

Reflect on your experience in implementing processes that enhance team efficiency. You might discuss examples of how you've introduced new tools, optimized workflows, or mentored junior engineers to establish better practices within the team.

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