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Walmart

Senior Data Engineer

Walmart

Data Engineer developing and maintaining data pipelines for retail data science at Walmart. Collaborating with Data Scientists, Analysts, and business stakeholders on complex challenges.

Posted 7/30/2026full-timeBangalore • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in Data Engineering with a strong focus on data modeling, data pipeline creation, and analytics trends. Proficient in utilizing tools and technologies such as Hadoop, Spark, and cloud platforms to deliver data-driven solutions.

Highest-signal resume keywords
Data EngineeringHadoopSparkData ModelingCloud Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data Pipeline DevelopmentData TransformationData Migration ProtocolsProgramming in JavaProgramming in Python
Soft Skills
Analytical ThinkingCommunication
Tools & Technologies
HiveKubernetesGCPAzureKafka Connect
Industry Keywords
Data StrategyData WarehouseData LakeBusiness IntelligenceBusiness Analytics

Tech Stack

Tools & technologies
AirflowAzureBigQueryCloudGoogle Cloud PlatformHadoopJavaKafkaKubernetesPythonScalaSpark

About the role

Key responsibilities & impact
  • Understand, articulate and apply principles of defined data strategy
  • Extract data from identified databases
  • Create data pipelines and transform data to relevant structures
  • Develop knowledge of current analytics trends
  • Support the understanding of priority order of requirements and service level agreements
  • Analyze complex data elements, systems, data flows, dependencies, and relationships
  • Develop Logical and Physical Data Models, including data warehouse and mart designs
  • Write code to develop solutions and application features
  • Create test cases and deploy software to production servers
  • Provide recommendations to business stakeholders

Requirements

What you’ll need
  • 6+ years of experience in Data Engineering
  • Well versed with Hadoop, Hive, Spark using Scala, Kubernetes, Cloud, API and Data Lake concepts
  • Proven track record coding with at least one programming language (e.g., Java, Python)
  • Experienced in computing platforms (e.g., GCP, Azure)
  • Skilled in data modelling & data migration protocols
  • Experience with Kafka connect, Druid, Big Query and Looker is an added advantage
  • Experience with integration tools like Automic, Airflow
  • Bachelor's degree in Computer Science and 3 years' experience in software engineering or related field OR 5 years' experience in software engineering or related field OR Master's degree in Computer Science and 1 year's experience in software engineering or related field
  • 2 years' experience in data engineering, database engineering, business intelligence, or business analytics.

Benefits

Comp & perks
  • Incentive awards for performance
  • Maternity and parental leave
  • PTO
  • Health benefits
  • Flexible work arrangements