Store systems team is being built grounds up in Bangalore. We are working on building a data platform to be the single source of truth for all Walmart Stores.
Our Company We help people around the world save money and live better – anytime and anywhere – in retail stores, online and through their mobile devices. Each week, more than 230+ million customers and members visit our 11000+ stores under 69 banners in 27 countries and e-commerce websites in 10 countries. With last fiscal year revenues of approximately $482 billion and 2.2 million employees worldwide, Walmart is simply the largest retail business in the world. @ Walmart Labs in Bangalore, we enable an ecosystem wherein our customers can “save money so they can live better” by using technology for the charter of building brand new platforms and services on latest technology stack to support both our stores and e-commerce businesses worldwide. Our Team The Stores Systems team owns a diverse portfolio of systems used by Walmart stores associates for business- critical functions such as efficient Store Logistics and Inventory Management/Audits to provide constantly high levels of on-shelf availability, processing of in-transit inbound merchandise, efficient freight handling and storage, processing for outbound freight (returns, disposal, donations), modular planning of the sales floor and in-store location tracking of merchandise, price changes/markdowns as well as tools and applications to effectively and efficiently manage critical tasks and communications within individual stores across the chain. Job Overview As an Engineer with the Stores Systems team, you would: 1. Be responsible for design, architecture, and end-to-end delivery of the Stores Data Platform (streaming/batch modes, data lineage, integrations with a variety of data sources) while collaborating effectively with cross-functional teams. 2. Raise the bar on sustainable engineering by improving best practices, producing best in class of code, documentation, testing and monitoring.
leadership to them. 5. Rise above details as and when needed to spot broader issues/trends and implications for the product/team as a whole. You should have 1. A BS/MS/PhD in Computer Science or equivalent. 2. 6-10 years of strong design/development experience in building massively large scale data platforms/products (streaming/batch, data lineage tracking, data integration with a variety of sources)
Java/Go/Scala/C++ would be ideal), data storage systems and messaging systems.
engineers in the team 8. Prior exposure to shipping cloud (Microsoft Azure/GCP) applications Mandatory Skills Big Data, Java, Hadoop, Kafka, Spark, Hive Education/Qualification
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