Big Data Engineer
OSI Engineering
Job Description
This range is provided by OSI Engineering. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$80.00/hr - $95.00/hr
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
- 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:
- 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)
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
Industries
- Software Development