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Walmart

Staff Data Engineer

Walmart

. Design, build, and operate large-scale batch and streaming data pipelines using Spark, Java, and Python .

Posted 10/13/2026full-timeBangalore • IndiaLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and operating large-scale data pipelines using Spark, Java, and Python, while ensuring data quality and governance. Proficient in integrating AI capabilities and collaborating with data scientists on MLOps infrastructure.

Highest-signal resume keywords
Java ProficiencyPython ProficiencySpark ExpertiseData Engineering ExperienceMLOps Practices

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data Pipeline DesignDistributed SystemsETL/ELT Pipeline DesignData Quality and ObservabilityData GovernanceBatch and Streaming ProcessingData ModelingWorkflow OrchestrationMicroservicesSystem Design
Soft Skills
Ownership MindsetTechnical JudgmentMentoring
Tools & Technologies
Hadoop/HDFSHiveKafkaAirflowDelta LakeBigQueryDatabricksKubernetesCI/CDGenAI/LLM Tooling
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree in Computer Science
Industry Keywords
Big DataCloud TechnologiesData Engineering StandardsDomain-Oriented DesignClean Architecture

Tech Stack

Tools & technologies
AirflowBigQueryCloudDistributed SystemsETLHadoopHDFSJavaKafkaKubernetesMicroservicesPythonScalaSparkC++Go

About the role

Key responsibilities & impact
  • Design, build, and operate large-scale batch and streaming data pipelines using Spark, Java, and Python
  • Apply software engineering fundamentals, including clean architecture, automated testing, CI/CD, and code review discipline
  • Apply domain-oriented design, system design, and low-level design rigor to data and platform problems
  • Build and maintain services, APIs, and distributed systems supporting data pipelines
  • Integrate AI, GenAI, and agentic capabilities into the data platform
  • Partner with data scientists and ML engineers on feature pipelines, model-serving data paths, and MLOps infrastructure
  • Own data quality, observability, and governance for pipelines and datasets
  • Participate in and lead architecture and design reviews
  • Set technical direction and best practices, mentor engineers, and influence data engineering standards
  • Evaluate and adopt emerging Big Data, cloud, and AI/agentic technologies

Requirements

What you’ll need
  • 8+ years of professional software engineering experience with significant hands-on data engineering at scale
  • Strong proficiency in Java and Python
  • Strong working knowledge of Spark for distributed data processing
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
  • Minimum qualification alternatives: Bachelor's degree in Computer Science and 4 years' experience in software engineering or related field; 6 years' experience in software engineering or related field; or Master's degree in Computer Science and 2 years' experience in software engineering or related field
  • 3 years' experience in data engineering, database engineering, business intelligence, or business analytics
  • Deep experience with Spark, Hadoop/HDFS, Hive, Kafka, workflow orchestration such as Airflow, batch and streaming processing, and large-scale data transformation
  • Experience with data modeling, ETL/ELT pipeline design, data quality and observability, data governance, and lakehouse architectures such as Delta Lake, BigQuery, and Databricks
  • Hands-on experience integrating model APIs and GenAI/LLM tooling, building or operating agentic workflows, embeddings/vector search, and MLOps practices
  • Working literacy in microservices, API design, Kubernetes or equivalent orchestration, CI/CD, and cloud-native practices
  • Strong distributed systems, system design, domain-oriented design, and low-level design skills
  • Strong software engineering craftsmanship, including testing strategy, code review standards, and design patterns
  • Ability to translate ambiguous data/business problems into technical execution plans
  • Strong ownership mindset and technical judgment
  • Additional experience with Go, C++, or Scala is a plus

Benefits

Comp & perks
  • Incentive awards for performance
  • Maternity and parental leave
  • PTO
  • Health benefits
  • Flexibility for associates to manage their personal lives