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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and operate large-scale batch and streaming data pipelines using Spark, Java, and Python at Walmart scale.
Own data quality, observability, and governance for pipelines and datasets with strong operational and engineering excellence discipline.
Set technical direction within the team as a Staff engineer, mentor engineers, and influence data engineering standards.
Minimum Requirements
8+ years professional software engineering experience with significant hands-on data engineering at scale.
Strong proficiency in Java, Python, and Spark is mandatory; additional experience with Go, C++, or Scala is a plus.
Bachelor's or Master's degree in Computer Science, Engineering, or related technical field, or equivalent practical experience.
3 years experience in data engineering, database engineering, business intelligence, or business analytics.
Ideal Candidate Profile
Experienced in designing and operating scalable, reliable data infrastructure and pipelines at enterprise scale with deep Big Data ecosystem knowledge.
Strong software engineering craftsmanship with focus on testing, CI/CD, code reviews, and system design for high-throughput data systems.
Proven ability to convert ambiguous data and business problems into clear technical plans and deliverables; comfortable working autonomously in new or evolving environments.