Staff Data Engineer

3 weeks ago

Silver Lake, Kansas, United States Walmart Full time

About the Role:

We are seeking a highly skilled Staff Data Engineer to join our team at Walmart Global Tech. As a Staff Data Engineer, you will be responsible for designing, architecting, building, expanding, and optimizing our data and data pipeline architecture.

Key Responsibilities:

  • 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.
  • Support AML Data applications, ensuring Data Quality and Governance standards.
  • Interact with Walmart engineering teams across geographies to leverage expertise and contribute to the technical community.
  • Provide guidance and mentorship to junior data engineers.

Requirements:

  • Bachelor's/master's degree in computer science or a related field.
  • 8+ 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.).
  • Expertise in building idempotent workflows using orchestrators like Airflow.
  • Expertise in writing SQL to analyze, optimize, profile data preferably in BigQuery or SPARK SQL.

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 experts, and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption.

Benefits:

  • Competitive pay and performance-based bonus awards.
  • 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and 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.

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