Data Pipeline Engineer
6 days ago
The team is seeking world-class server software engineers with experience in Big Data Infrastructure and Data warehousing to join their technology innovation group, which focuses on rapidly developing AI-driven, cloud-based end-to-end mobile applications and services.
Work Location: Mountain View, CA (Hybrid role, 4 days/week onsite mandatorily)
Duration: 12-month contract with potential to convert depending on the candidate's performance
Pay Range: $85/hr to $95/hr
**No C2C resumes are considered**
Responsibilities:
- Implement, maintain, and evolve the 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 systems
- 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
- Minimum of 3 years of hands-on experience in Big Data technologies like Apache Iceberg, Spark, Spark ML, & KafkaAn
- MS in Computer Science or equivalent experience is preferred
- Strong skills in statistical analysis: correlation analysis, regression analysis, univariate and multivariate analysis
- Programming Language: Python
- 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 the latest and greatest technologies
- Preferred 7+ years of experience in 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
Thank you
FocusKPI Hiring Team
Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts.
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