Data Engineer III

As a Data Engineer III at Walmart Global Tech, your responsibilities include data transformation and integration, crafting effective data models, developing robust data pipelines, and collaborating with stakeholders to ensure quality and implement data governance practices. The role involves coding solutions, developing proofs of concept, and translating business requirements into actionable projects.

To qualify for the Data Engineer III position at Walmart Global Tech, candidates should demonstrate proficiency in Java and Spring Boot, knowledge of cloud computing platforms like GCP or Azure, and experience with data modeling and migration protocols. Additionally, a proven track record in coding with Scala or Python, experience in building Big Data solutions, and strong communication skills are essential.

A Data Engineer III at Walmart Global Tech should be well-versed in tools and technologies such as Databricks, Snowflake, containerization technologies like Docker and Kubernetes, and data integration tools like Airflow and Autosys. Familiarity with CI/CD pipelines and messaging platforms like Kafka will also be advantageous.

The Data Engineer III at Walmart Global Tech will work within a collaborative team environment where innovation is encouraged. The Data Sharing & Collab Team focuses on helping suppliers with data ingestion while leveraging the latest technologies, promoting an open culture that values creativity and critical thinking.

The Data Engineer III at Walmart Global Tech plays a crucial role in driving business success by transforming data into meaningful insights, developing scalable data solutions, and ensuring effective data governance. By aligning projects with business strategies and educating stakeholders, this position directly impacts Walmart's ability to make informed decisions and optimize operations.

When answering this question, highlight specific data modeling projects you’ve worked on. Discuss techniques you used and how data modeling had a positive impact on the overall project. Illustrate your understanding of different data models, like star or snowflake schemas, and their application.

Focus on discussing techniques such as ETL (Extract, Transform, Load) processes, data cleansing, and aggregation. Be prepared to provide examples of situations where you applied these techniques to improve data quality or drive insights.

Explain your approach to enforcing data quality. Mention practices like validation checks, automated testing of data pipelines, and regular audits. Providing concrete examples of how you identified and rectified data quality issues can demonstrate your capability.

Prepare to discuss a specific project in detail, outlining your role, the cloud technologies used, and the challenges encountered. Highlight the project’s impact and how cloud computing facilitated scalability and efficiency.

Detail the programming languages you've mastered, particularly focusing on Java, Scala, or Python. Discuss situations where you've utilized these languages effectively, emphasizing their strengths in data engineering.

Share your strategy for keeping up to date with industry trends. Talk about utilizing online courses, attending workshops, or participating in tech communities. Be sure to emphasize your commitment to continuous learning.

When answering this question, provide specific instances where you used Docker or Kubernetes. Highlight achievements related to deployment efficiency and how containerization contributed to your project deliverables.

Discuss techniques for optimizing data pipelines such as parallel processing and choosing the right data storage solutions. Providing insights on tools you’ve used can enhance your answer.

Explain your background with Continuous Integration and Continuous Deployment practices. Discuss tools you have employed and the benefits these practices bring to data engineering projects in terms of efficiency and reliability.

Highlight your interest in the company’s mission and values. Discuss aspects of Walmart's innovative culture, the specific responsibilities of the Data Engineer III role, and how your skills align with their needs, demonstrating your enthusiasm for contributing to their projects.