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Walmart

Sells groceries and essentials in stores and online

Distinguished Big Data Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, India

About the Job

Requirements

  • At least 15 years of software engineering experience, with significant depth in Big Data.
  • Strong programming experience in one or more systems or platform languages such as Java, Python, C++, or Go.
  • Hands-on experience with Big Data technologies such as Spark, Hive, Airflow, Gluten, Velox, BigQuery, Trino, Druid, and Pinot.
  • Deep working knowledge of cloud-native distributed system development, including GCP or Azure.
  • Experience building agentic AI solutions using large language model models, LangGraph, and LangChain frameworks, and using generative AI productivity tools such as GitHub Copilot and Codium.
  • Experience designing and operating Big Data platforms with reliability, availability, backup and restore, disaster recovery, observability, security, and compliance characteristics.
  • Strong systems engineering background, including distributed systems, concurrency, networking, storage, failure modes, and capacity planning.
  • Experience building automation, tooling, or platform capabilities around open-source or commercial database systems.
  • Proven ability to define technical strategy, drive architecture across teams, and influence large-scale engineering direction without relying solely on formal authority.
  • Strong written and verbal communication skills, including explaining complex database and platform concepts to senior technical and non-technical stakeholders.
  • A strong track record of mentoring engineers, reviewing architecture, and raising engineering standards across a large organization.
  • A bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or a related area, and six years of experience in software engineering or a related area; alternatively, eight years of experience in software engineering or a related area.

Responsibilities

  • Define and drive the long-term technical vision, architecture, and roadmap for Big Data platforms within Data Services.
  • Lead the design and evolution of highly available, scalable, secure, and operationally efficient Big Data platforms that support mission-critical workloads at enterprise scale.
  • Provide deep technical leadership across Big Data processing frameworks including Spark, Gluten, and Velox; orchestration engines such as Airflow; and query engines including BigQuery, Trino, Druid, and Pinot.
  • Build and influence tooling, automation, and platform capabilities that improve platform reliability, performance, observability, developer productivity, and operational simplicity.
  • Partner with application engineering teams to design, review, and optimize database architectures for complex distributed systems and high-throughput workloads.
  • Establish technical standards, best practices, reference architectures, and operational patterns for relational database usage across the organization.
  • Influence senior engineering leaders, architects, product teams, and business stakeholders by communicating technical strategy, trade-offs, risks, and execution plans.
  • Mentor principal and senior engineers, raising the technical bar across database engineering, distributed systems, performance engineering, and production operations.
  • Shape the architecture and evolution of Big Data capabilities across the organization, with a focus on Spark, Airflow, Metastore, Gluten, Velox, and query engines.

Desired Qualifications

  • A master's degree in computer science, computer engineering, computer information systems, software engineering, or a related area, and four years of experience in software engineering or a related area.
  • Knowledge of creating inclusive digital experiences, implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, using assistive technologies, and integrating digital accessibility in accordance with accessibility standards and guidelines.

About the Company

Walmart

Sells groceries and essentials in stores and online

Walmart sells groceries, household essentials, clothing, and electronics through stores and online marketplaces for consumers around the world. Its everyday low price model combines large purchasing volumes with distribution networks that move goods to stores and customer homes. Shoppers can browse online, collect orders at a nearby store, or request delivery, while third-party merchants use its marketplace and fulfillment services to reach customers. The group earns revenue from merchandise sales, memberships, advertising, and services, and also operates pharmacies, optical centers, and digital payments businesses. Walmart opened its first discount store in 1962 and is headquartered in Bentonville, Arkansas.

Company size
10,001+
Company stage
IPO
Headquarters
Bentonville, AR
Founded
1962

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