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Data Engineer
Job Order #14345
San Francisco, California - Added Apr 12, 2018

Full Description:

Our Client has an immediate need for Data Engineer in San Francisco or Concord!!

We are looking for a data engineer to design and deploy big data pipelines based on distributed computing and cloud computing architectures. The application area is data science, machine learning and artificial intelligence for financial services and FinTech. While the candidate does not need to have prior experience in banking or finance, they do need to be able to learn on the job in order to gain the basic knowledge necessary to perform their tasks and to communicate with other team members. The candidate also needs to be able to communicate their ideas in a clear and organized manner. The ideal candidate is excellent at debugging and troubleshooting as well as at architecting pipelines. Ultimately, success in this role is defined as the deployment of high quality, highly reliable, low latency code in production or for proof of concept.

Required Skills:
• Windows, Linux
• Hadoop, MapReduce, Spark
• R, Python, Java, Scala
• SQL, some variety of NoSQL such as MongoDB
• Data wrangling, i.e. the ability to extract data from a variety of data sources, and to transform it into a usable format.

Desired Knowledge:
• RESTful APIs
• Amazon Web Services (AWS), Google Cloud Platform (GCP)
• pandas, dplyr
• Familiarity with basic concepts from statistics, data science and machine learning

Please send your most current resume to Audra at
Please reference JO# 14233

Mainz Brady Group provides technology staffing solutions to the best known companies in Software Development, Finance, Electronics/Manufacturing, Retail, R&D, Services, Biotechnology, Healthcare and Telecommunications.

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