STAFF, SOFTWARE ENGINEER

• Code and Develop interactive, user-friendly data engineering solutions using the latest frameworks which are open source and proprietary.
• Architect and Design Data Engineering Solution which focuses on Scalability, Reliability, Low-latency, and Cloud cost optimization.
• Design, build, test and deploy cutting edge solutions at scale, impacting millions of customers worldwide.
• Expected to drive and lead the project technically
• 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 requirements, set your priorities and deliver awesome solution.
• Foster motivating culture of openness, collaboration, and continuous improvement.
• Bring-in Best Engineering Practices and ideas which always challenges the current setup.

What you will bring

• Ensure business needs are being met using best Data Engineering practices.
• Participate in internal Hackathons and innovation challenges!
• 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 initiatives.

• Bachelors or masters degree in Computer Science or related technical field
• 10 to 15 years of total experience in developing Enterprise scale applications
• Strong in Architecture and Design for building enterprise scale Data Engineering Solutions
• Strong hands-on coding experience in Spark, Python/Scala
• Strong experience in Big Data, Hive, Data modelling, Spark streaming, Big Query and Databricks
• Strong experience in Building Data Pipelines, Data Migration, Streaming Pipelines solutions
• Experience to develop, implement and tune distributed data processing pipelines that process large volume of data
• Expertise in writing complex, highly-optimized SQL queries across large data sets
• Experience of working in Git, Docker and Jenkins
• 3-4 years of working experience in GCP/Azure/AWS cloud platforms
• Experience of working in Docker, Kubernetes and Jenkins

• 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