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| Job ID | 100384 | Apply
|
| Title | Sr. Big Data Engineer - San Francisco CA | |
| Hourly Rate | TBD (W2 rate + no benefits) | |
| Location | San Francisco CA | |
| Staffing Company posting job |
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Clients Include:
* Undisclosed, Amazon, Bank of America, Cisco Systems, Cisco Systems, Dolby, eBay, eBay, Electronic Arts (EA), Facebook, Genentech, Intuit, Kaiser Permanente, LinkedIn, PayPal, PayPal, PG&E , Symantec, VMware, Wells Fargo, Yahoo. |
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| Client Company | Undisclosed Please let us know if you know this Send | |
| Description | Position Title: Sr. Big Data Engineer Tax Terms: W2 Only Job Duration: 6+ Months contract Location: San Francisco, CA Job profile: Senior Business Intelligence engineer for Advanced Analytics overall theme. Guide and move forward an advanced system providing sophisticated and measurable business benefits. This person will work closely with our business analysts, as well as internal business users to understand their key business drivers and data needs, and scope out scalable and suitable solutions that will help our customers with their information needed for planning, analysis, and decision-making. Required Skills: 8+ years of experience with software development Strong knowledge of software development practices. High proficiency in Java Development Practices Solid Object Oriented Development Experience required. Design and architecture experience within Big Data space. Creating frameworks to sift through and process terabytes of data: create domain specific languages and natural language grammars to connect data science and end users to the company's vast data store. Writing parallel algorithms against a petabyte Hadoop cluster to mine insight out of the company's historical webstream and transaction activity Working knowledge of RDBMS systems (Oracle, SQL Server, etc) General programming competency and experience in a Hadoop Big Data environment Strong application engineering experience in designing Information/Analytics, highly scalable and available systems Prior Hadoop and Java MapReduce Experience required. Familiarity with Distributed Computing Platforms. Strong conceptual and creative problem-solving skills; ability to work with considerable ambiguity; ability to learn new and complex concepts quickly Demonstrated initiative and ability to work independently Ability to build strong, collaborative working relationships with broad cross section of business partners | |
| Posted on | November 21, 2014 | |
| Recruiter |
 Sushil Pujari |
|
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