Responsibilities
- As a part of the Market Place team, work to optimize multiple Walmart market processes and ensure efficient utilization of resources.
- Partner with application developers to pursue efficiency and quality in the final product, focusing on security, performance, and functionality.
- Design, build, test, and deploy data pipelines and solutions at scale for multi‑billion‑dollar business impact.
- Develop and implement best‑in‑class data pipelines, data lake, and consumption/acceleration layers to meet capacity utilization goals and SLAs.
- Transform business requirements into code, analytical reports, and tools that provide actionable insights.
- Build and maintain infrastructure and platforms to maximize data‑driven impact, prioritizing projects and making sound judgments.
- Maintain and document data subject availability, accuracy, data lineage, and business/technical terminology.
- Provide business insights using internal tools, databases, and industry data; collaborate closely with product owners and technical leads on project delivery.
- Research and learn continuously, handling both new requests/projects and supporting production systems.
Qualifications
- Bachelor’s degree in computer science or related discipline with 3+ years’ experience.
- Minimum 2 years of experience in Big Data and distributed computing.
- Proven experience building pipelines on Big Data technologies/stack – Hadoop, Spark, Hive, DataProc, BigQuery, Kafka, and Airflow Scheduler.
- Deep understanding of the Hadoop ecosystem and solid conceptual knowledge of Hadoop architecture components; experience with at least one Big Data technology using Java, Python, or Scala.
- Strong knowledge of deploying and managing applications in AWS, Azure, or GCP.
- Strong scripting skills to process large amounts of data and high proficiency in SQL.
Preferred Skills
- Solid knowledge of Linux systems with ability to troubleshoot issues in complex, distributed, multi‑tier architectures.
- Experience with secure, scalable and highly available services.
- Experience with data science and machine learning.
- Build infrastructure for extraction, transformation, and loading of data from various sources using SQL and GCP big data technologies.
- Hands‑on experience with Python, Java, C++, Scala, and micro‑services frameworks.
- Strong written and verbal communication skills.
Benefits
Beyond the compensation package, you can receive incentive awards. Other perks include maternity and parental leave, PTO, health benefits, and more.
Equal Opportunity Employer
Walmart, Inc., is an Equal Opportunities Employer – By Choice. We focus on creating a workplace where everyone is respected and included.
Location
Primary Location: Tower 1, 1st–4th Floors, Intl Tech Park Radial Road (Radial It Park Pvt Ltd), India