SENIOR, DATA ENGINEER
Walmart Inc. (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 28–45 LPA
Posted 8h ago
Reach people at Walmart Inc.
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Walmart Inc. you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Build and operate high-throughput batch and streaming data pipelines and contribute to the distributed services and platform code they depend on.
- Own reliability, data quality, observability and governance for owned pipelines and datasets, including SLO/SLA practices and incident follow-through.
- Develop data infrastructure for AI/ML use cases and help set technical direction through design reviews, code reviews and mentoring.
Minimum Requirements
- Work Experience Required: The role asks for 5+ years of professional software engineering experience with hands-on data engineering at scale; listed minimum qualifications also require 2 years in data engineering, database engineering, business intelligence or business analytics. Qualification alternatives listed: CS bachelor’s plus 3 years, CS master’s plus 1 year, or 5 years in software engineering or a related field.
- Required technical skills include strong Java and Python, strong Spark, and experience with batch and streaming data processing; the JD also calls for Big Data tools such as Hadoop/HDFS, Hive, Kafka and workflow orchestration, plus hands-on GenAI/LLM, agentic workflow, embeddings/vector search and MLOps experience.
- A bachelor’s or master’s in Computer Science, Engineering or a related technical field, or equivalent practical experience, is specified. Operational excellence, including SLO/SLA ownership, incident management and reliability/quality metrics, is described as required.
- Role is based in the Bangalore/Chennai office for daily work; the listed primary location is Bangalore.
Ideal Candidate Profile
- A senior hands-on engineer who applies software engineering discipline—system design, testing, CI/CD and fault-tolerant distributed systems—to data platforms, not just pipeline scripts.
- Has operated large-scale data systems and can connect platform reliability and governance to AI/ML needs, including feature pipelines, model-serving data paths and MLOps.
- Likely to fit a newly formed, 0-to-1 platform team: independently executes scoped problems, uses sound technical judgment, and contributes to reviews and mentoring while escalating broader ambiguity when needed.