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Data Engineer

Walmart Global Tech

India · On-site Full-time Senior Today

About the role

About the Team

You will be part of a Data Engineering team that builds and operates scalable, intelligent data platforms enabling analytics, automation and AI‑driven decision‑making across the organization. Our work focuses on designing high‑performance data systems, ensuring reliability and operational excellence and integrating Generative AI capabilities to enhance how data is processed, understood, and used.

We work at the intersection of data engineering and applied AI, developing production‑grade agentic systems that handle data at scale, automate complex workflows, and drive measurable business impact. The team culture emphasizes ownership, collaboration, and technical craftsmanship, encouraging innovation while maintaining strong engineering discipline and delivery excellence.

Walmart's Enterprise Business Services (EBS) delivers world‑class technology solutions and services making a profound impact at every level of Walmart. As a key part of Walmart Global Tech, our teams set the bar for operational excellence and leverage emerging technology to support millions of customers, associates, and stakeholders worldwide.

What You Will Do

  • Design and develop scalable data systems; build and optimize high‑performance data pipelines and APIs using Python, FastAPI, Spark, and Airflow.
  • Design and implement AI agents using LangGraph or other agentic frameworks, capable of orchestrating data workflows, integrating with APIs, and leveraging LLMs and ML models for decision‑making.
  • Deliver production‑grade agents that are containerized, monitored, and scalable, with strong focus on observability, traceability, and monitoring.
  • Take end‑to‑end ownership: build, deploy, and maintain systems—including Kubernetes scheduling, CI/CD pipelines, and infrastructure setup using Terraform.
  • Develop and integrate frontend interfaces using React or Next.js to interact with agents, visualize data, and enable observability and control for end users.
  • Instrument applications for observability, monitoring, and traceability, ensuring reliability and performance at scale.
  • Manage cloud deployments on Google Cloud Platform (GCP) services like BigQuery, Cloud Run, Vertex AI, and GCS.
  • Containerize and automate AI deployments with Docker and Kubernetes; leverage CI/CD systems for continuous delivery and environment automation.
  • Design for scalability and maintainability, ensuring systems support multiple concurrent agents, high throughput, and growing data volumes.

What You Will Bring

  • 6–10 years of experience in software engineering, with strong exposure to large‑scale distributed systems.
  • Proficiency in Python, FastAPI, and data processing frameworks such as Spark.
  • Working knowledge of Java/Scala for performance‑critical components (a plus).
  • Solid experience in frontend development, preferably with React or Next.js.
  • Strong understanding of agentic frameworks (e.g., LangGraph, LangChain) and LLM orchestration concepts.
  • Awareness of ML models, their deployment patterns, and interaction with Gen AI agents.
  • Experience developing and deploying product‑ready Gen AI agents that run at scale.
  • Expertise in Kubernetes (deployment, scaling, scheduling) and containerization best practices.
  • Hands‑on experience with Terraform for cloud infrastructure setup and management.
  • Strong understanding of CI/CD pipelines, release automation, and environment management.
  • Familiarity with Airflow or similar tools for orchestration and scheduling.
  • Working knowledge of GCP, particularly BigQuery, Cloud Run, GCS, and Vertex AI.
  • Skills in observability, monitoring, and traceability—including logging, metrics, and alerting frameworks.
  • Strong knowledge of data modeling, prompt engineering, and retrieval‑augmented generation (RAG) techniques.
  • Practical understanding of MCP (Model Context Protocol) and agent ecosystem integrations.
  • Proven ability to operate autonomously across Ops, Data, and AI system layers.

About Walmart Global Tech

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity experts, and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption.

We train our team in the skillsets of the future and bring in experts like you to help us grow. Roles range from first‑time opportunities to career‑defining positions. Here, you can kickstart a great career in tech, gain new skills and experience across industries, or leverage your expertise to innovate at scale, impact millions, and reimagine the future of retail.

This role is based in our Chennai office for daily work, with flexibility for associates to manage their personal lives.

Benefits

  • Competitive compensation package with incentive awards for performance.
  • Best‑in‑class benefits including maternity and parental leave, PTO, health benefits, and more.

Belonging

We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, creating opportunities for all associates, customers, and suppliers, and to be a Walmart for everyone.

Our vision is “everyone included.” By fostering an inclusive workplace where everyone feels belonging, we engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.

Equal Opportunity Employer

Walmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we truly know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people.

Minimum Qualifications

  • Option 1: Bachelor’s degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years of experience in software engineering or related area.
  • Option 2: 5 years of experience in software engineering or related area.

Preferred Qualifications

  • Master’s degree in computer science, information technology, engineering, information systems, cybersecurity, or related area and 1 year of experience leading information security or cybersecurity projects.
  • Experience creating inclusive digital experiences, implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
  • Knowledge of accessibility best practices and ability to create accessible products and services following Walmart’s accessibility standards and guidelines.

Information Technology – CISCO Certification (relevant certification).

Requirements

  • Proficiency in Python, FastAPI, and data processing frameworks such as Spark.
  • Solid experience in frontend development, preferably with React or Next.js, to build interfaces and control panels for AI agents.
  • Strong understanding of agentic frameworks (e.g., LangGraph, LangChain) and LLM orchestration concepts.
  • Awareness of ML models, their deployment patterns, and interaction with Gen AI agents.
  • Experience developing and deploying product-ready Gen AI agents that run at scale.
  • Expertise in Kubernetes (deployment, scaling, and scheduling) and containerization best practices.
  • Hands-on experience with Terraform for cloud infrastructure setup and management.
  • Strong understanding of CI/CD pipelines, release automation, and environment management.
  • Familiarity with Airflow or similar tools for orchestration and scheduling.
  • Working knowledge of GCP, particularly BigQuery, Cloud Run, GCS, and Vertex AI.
  • Skills in observability, monitoring, and traceability — including logging, metrics, and alerting frameworks.
  • Strong knowledge of data modeling, prompt engineering, and retrieval-augmented generation (RAG) techniques.
  • Practical understanding of MCP (Model Context Protocol) and agent ecosystem integrations.
  • Proven ability to operate autonomously across Ops, Data, and AI system layers.

Responsibilities

  • Design and Develop Scalable Data Systems
  • Develop and Deploy Agentic Systems
  • Build Product-Ready AI Agents
  • End-to-End Ownership
  • Develop and Integrate Frontend Interfaces
  • Ensure Operational Excellence
  • Manage Cloud Deployments
  • Containerize and Automate AI Deployments
  • Optimize for Scale and Maintainability

Benefits

incentive awardsmaternity leaveparental leavePTOhealth benefits

Skills

AirflowBigQueryCloud RunDockerFastAPIGCPGCSGenerative AIJavaKubernetesLangGraphLangChainLLMMLMCPNext.jsPythonRAGReactScalaSparkTerraformVertex AI

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