Posted:2 months ago|
Platform:
Work from Office
Full Time
What You ll Do Develop interactive, user-friendly applications using the latest frameworks which are open source and proprietary. Contribute to design and code review tasks. Design, build, test and deploy cutting edge solutions at scale, impacting millions of customers worldwide. Interact with Walmart engineering teams across geographies to leverage expertise and contribute to the tech community. Engage with Product Management and Business to drive the agenda, set your priorities and deliver awesome products. What You ll bring Bachelor's or Master s degree in Computer Science or related technical field 6 to 10 years of total experience in developing Enterprise scale applications Strong hands-on coding experience in Spark, Python/Scala Strong computer science fundamentals: Data Structure and Algorithms 2-3 years of working experience in GCP/Azure/AWS cloud platforms Strong experience in Building Data Pipelines, Data Migration, Streaming Pipelines Experience to develop, implement and tune distributed data processing pipelines that process large volume of data Strong experience in Architecture and Design for building enterprise scale product with focus on scalability, low-latency, and fault-tolerance . Expertise in writing complex, highly-optimized SQL queries across large data sets Experience of working in Git, Docker and Jenkins Must be able to work effectively in a team setting as well as individually. Ability to communicate and collaborate with external teams and stakeholders. Must have growth mindset to learn and contribute across different modules or services. Desirable: Big data development experience for large enterprise Experience in building streaming pipeline using spark streaming, Kafka/event hub or similar Working experience with data ware house like Big Query, AWS Redshift Delivering high quality data solutions that are testable and adhere to SLAs Working knowledge of job scheduling tools like Airflow etc. Knowledge of Open Source Tools - Kubernetes, Kafka, Elastic Search, Kibana, AI/ML exposure Good to have exposure on Data Governance related projects
Walmart
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