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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, governance, and operational excellence for pipelines and datasets developed.
Set technical direction and best practices across multiple teams, mentor engineers, and lead architecture and design reviews in data and platform engineering.
Minimum Requirements
12+ years professional software engineering experience with significant hands-on data engineering at scale.
Proficiency in Java, Python, and strong working knowledge of Spark; experience with big data tools like Hadoop, Hive, and Kafka.
Bachelor's or Master's degree in Computer Science, Engineering, or related technical field, or equivalent experience.
Operational Excellence mindset: ownership of SLO/SLA, incident management, proactive reliability, and quality metrics.
Ideal Candidate Profile
Experienced in applying software engineering best practices to data engineering (automated testing, CI/CD, clean architecture).
Strong system and domain-oriented design skills with ability to evaluate trade-offs, failure modes, scalability, and cost for production systems.
Hands-on expertise integrating AI/ML features, GenAI/LLM tooling, and agentic workflows into data platforms.