Big Data Engineer

A globally leading consumer device company based in Mountain View, CA is seeking a talented Data Engineer to help build secure, scalable cloud services that power the world’s best-selling mobile devices. As part of the Knox Cloud Team, you’ll play a key role in transforming research projects into production-ready cloud platforms and service infrastructures. We’re looking for world-class server software engineers with strong expertise in Big Data infrastructure and data warehousing to join our innovative technology group driving the rapid development of AI-powered, cloud-based, end-to-end mobile applications and services. Responsibilities Include :

• Implement, maintain and evolve big data platform and infrastructure
• Responsible for designing, implementing and maintaining backend REST API Services and ETL processes for Predictive Data Modeling, Machine Learning, Personalization, Recommendation, and Business Intelligence system
• Perform extensive research and analysis to make optimal architecture and design decisions
• Write large amounts of code, perform code reviews, write unit tests and documentation
• Interface with other groups including Product Management, QA and Operations
• Create quick proof-of-concept prototypes
• Work in a scrum team with ML & Cloud Engineers Candidate Requirements :
• Hand-on experience in Big Data technologies like Apache Iceberg (a must-have), Spark, Spark ML, & Kafka
• Strong skills in statistical analysis : correlation analysis, regression analysis, univariate and multivariate analysis
• Strong skills in algorithms, Data structures, UNIX / Linux, Scripting, Machine Learning (especially classification and unsupervised clustering), Data Modeling, Data warehousing, and Networking
• Hands-on experience in building REST API’s
• Team player with strong communication skills and ability to mentor ML & Cloud engineers in areas of Data Engineering
• Desire to learn fast and pick up latest and greatest technologies
• MS in Computer Science or equivalent experience Preferred :
• Programming Language : Python
• Big Data Technologies : AWS EMR, Iceberg, Spark, Kafka, & YARN
• Machine Learning : PyTorch, TensorFlow, Spark ML
• REST API : Flask, FastAPI, or Django
• Data Quality tools such as Monte Carlo, Great Expectations, or Databand
• Experience with teams using MLflow Type : Contract Duration : 12 months with extension Work Location : Mountain View, CA (on-site) Pay range : $ 80.00 - $ 95.00 (DOE)