STAFF, DATA ENGINEER
Walmart Inc. (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 35–60 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About 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 operational excellence for data pipelines and datasets built, including incident management and continuous improvement.
- Set technical direction and best practices as a Staff engineer; mentor engineers; integrate AI/GenAI/agentic capabilities and partner with data scientists/ML engineers for MLOps infrastructure.
Minimum Requirements
- 8+ years professional software engineering experience with significant hands-on data engineering at scale.
- Strong proficiency required in Java, Python, and Spark; experience with Big Data ecosystem (Spark, Hadoop/HDFS, Hive, Kafka, Airflow or equivalent).
- Bachelor's or Master's degree in Computer Science, Engineering, or related technical field, or equivalent practical experience.
- Experience with AI/GenAI integration, platform engineering fundamentals (microservices, API design, Kubernetes, CI/CD), and distributed systems design is mandatory.
Ideal Candidate Profile
- Experienced in applying software engineering best practices to data engineering at scale, including system design, domain-oriented design, and low-level design.
- Comfortable owning ambiguous, 0-to-1 technical problem spaces with high autonomy and setting technical standards without formal management role.
- Skilled in integrating advanced AI/agentic technologies into data platforms and collaborating closely with data science and ML teams to enable MLOps.