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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and operate large-scale batch and streaming data pipelines with Spark, Java, and Python at Walmart scale.
Maintain data quality, observability, governance, and participate in architecture/design reviews focusing on data and platform engineering.
Mentor early-career engineers, uphold engineering quality standards, and apply AI/GenAI technologies to data platform challenges.
Minimum Requirements
5+ years professional software engineering experience, including hands-on data engineering at scale.
Strong proficiency in Java, Python, and distributed data processing with Spark is mandatory.
Bachelor's or Master's degree in Computer Science, Engineering, or related technical field or equivalent experience.
Experience with Big Data ecosystems (Hadoop, Hive, Kafka, Airflow), data platform fundamentals, and AI/Agentic tech integration is required.
Ideal Candidate Profile
Experienced software engineer with strong system design and low-level design skills for high-throughput, distributed data systems.
Comfortable in a 0-to-1 environment with strong ownership mindset and ability to operate autonomously within a newly formed team.
Able to integrate advanced AI/ML capabilities (LLM, embeddings, agentic workflows) into data platforms and collaborate with ML engineers.