Walmart Senior Software Engineer 

United States, California, Sunnyvale 

649935648

What you'll 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 members of technical staff to deliver end-to-end scalable systems for cross-functional projects.

• Work closely with business and product stakeholders to deliver strategy, vision, and roadmap for top initiatives in Personalization and Recommendations.

• Actively keep pace with new developing technologies in the MLE/data space and present technical solutions including architecture, design, implementation details, and customer and business impacting KPIs.

• Actively contribute to the research community through participation at conferences, seminars, and workshops

• You have experience in building large-scale distributed systems that process large volumes 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 are proficient in Java or Scala, Python, shell scripts, HQL, SQL

• 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 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.

• Experience in the Personalization and recommendation domain preferred .