SENIOR, SOFTWARE ENGINEER

Job Description

The Data Engineering role requires working on the Big data warehouse for Personalization Products. The associate may be involved in one or more business applications which are part of personalization portfolio. The associate would be working in a Global Team working closely in a distributed setup across timezone. About Team: Personalization team at Walmart is dedicated to the mission of knowing our customers better and making it frictionless and faster for them to get what they want while building a trusted partnership with Walmart. We help bring a seamless experience to our customers irrespective of how and where they engage with us while shopping online or picking groceries at stores. We thrive to provide each customer with a journey tailored to their individual needs, preferences and routines. We operate at the intersection of huge Walmart assortment, millions of customers, thousands of stores and Walmart associates - a multi-layer multi-objective problem space which has a unique impact on Global customer base and powers assisted AI for our associates. The Personalization team consists of big data geeks, application engineers, scientists and product visionaries all working together to design, prototype and build technology-driven products and experiences that will change the future landscape of e-commerce. We are focused on building an intelligent system that will enable 1:1 personalized customer experience, from finding the product to delivering it to the customer. We are building state-of-the-art probabilistic models and engineering marvels to serve our customer needs by leveraging cutting edge machine learning, deep learning, reinforcement learning, natural language processing, entity-relationship extraction and knowledge representation. This will span many markets, business models and form factors; therefore, we are looking for scientists and engineers who will bring not only an abundance of experiences in technologies, but an abundant curiosity to innovate. What will you do: Build data-driven platforms and capabilities to power Personalization experiences across site, app, stores, voice commerce. Build systems and workflows to process and manage petabyte scales of features data. Collaborate with member of technical staff to deliver end-to-end scalable systems for cross-functional projects. Work closely with business and product stakeholders to deliver on strategy, vision and roadmap for top initiatives in Personalization and Recommendations. Actively keep pace with new developing technologies in the data space and present technical solutions including architecture, design, implementation details, and customer and business impacting KPIs. Actively contribute to research community through participation at conferences, seminar and workshops. What you will bring: You have experience in building large-scale distributed systems that process large volume of data focusing on scalability, latency, and fault-tolerance. You have knowledge of complex software design, distributed system design, design patterns, data structures and algorithms. You have experience in building systems that orchestrate and execute complex workflows in big-data leveraging Apache Spark, Apache Kafka, and Hadoop stack preferably in Google Cloud Platform. You have experience in evaluating and fine-tuning systems for speed, robustness, and cost efficiency. You have experience in designing features and models from structured and unstructured data. You have experience in building datasets, tools, and services supporting big data and analytics operations. You have experience in relational SQL and NoSQL databases like Cassandra, AzureSQL, Cosmos. You are proficient in Java or Scala, Python, shell scripts, HQL, SQL. You have experience with distributed version control like Git or similar. You are familiar with continuous integration/deployment processes and tools such as Jenkins and Maven. You have strong written and oral communication skills. Good to Have Skills Hands-on experience with Java. Work experience with Spring framework. Work experience in using/building feature stores. Minimum Qualifications... Minimum Qualifications:Option 1: Bachelors degree in computer science, information technology, engineering, information systems, cybersecurity, or related area and 3years experience in software engineering or related area at a technology, retail, or data-driven company. Option 2: 5 years experience in software engineering or related area at a technology, retail, or data-driven company. Preferred Qualifications... Certification in Security+, GISF, CISSP, CCSP, or GSEC, Master s degree in computer science, information technology, engineering, information systems, cybersecurity, or related area and 1 year s experience leading information security or cybersecurity projects Information Technology - CISCO Certification - Certification