Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and operate large-scale batch and streaming data pipelines at Walmart scale using Spark, Java, and Python.
Own data quality, observability, governance and lead architecture/design reviews across data and platform engineering domains.
Set technical direction and best practices as a Staff engineer; mentor engineers and influence data engineering standards including AI/GenAI integration into data platforms.
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; familiarity with Go, C++, or Scala is a plus.
Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent experience.
Deep experience with Big Data ecosystem (Spark, Hadoop/HDFS, Hive, Kafka, Airflow), data modeling, ETL/ELT, and platform engineering fundamentals (microservices, API design, Kubernetes).
Ideal Candidate Profile
Experienced in operational and engineering excellence with SLO/SLA ownership, incident management, reliability metrics, and continuous improvement mindset.
Skilled in system, domain-oriented, and low-level design for distributed, event-driven, fault-tolerant data systems at scale.
Comfortable operating with high autonomy in a 0-to-1 environment, translating ambiguous problems into clear technical plans, and integrating AI/agentic capabilities.