奥浦诺管理咨询（上海）有限公司
Opera Solutions (Shanghai) Ltd.
Job Opening: Software Engineer/Senior Software Engineer/Lead Software Engineer
Email: chunni.tang@operasolutions.com
Job Opening: Software Engineer/Senior Software Engineer/Lead Software Engineer
Software Engineers are responsible for development of enterprise analytics software supporting, mining and analyzing huge volumes of data. This position requires ability to work well within a team structure and to deliver on specific tasks, keenness to explore requirements and work proactively towards identifying gaps, and adherence to general work processes.
Requirements:
We are looking for talented back-end developers with at least 2 years of related industry experience. The ideal candidates should be detail oriented, and willing to learn new technologies and utilize them as part of building software solutions.
The ideal candidate will have the following skills:
Strong experience in object oriented development using Java or C++
Experience developing with server technologies in a UNIX/Linux environment
Experience in Python or similar scripting languages
Experience with Hadoop, HDFS, or other related Big Data analysis/processing platforms, such as Pig, Hive, HBase, or Avro
Experience with SQL and relational databases, such as MySQL, SQL Server, or PostgreSQL
Experience building scalable and reusable components
Experience integrating with third party software (commercial and open source)
Experience with NoSQL databases is a plus, such as MongoDB, Cassandra, Redis, etc.
Experience in web development is a plus, such as one or more of Tomcat, HTML, CSS, Javascript, Node.js, jQuery, Ajax, etc.
Experience in J2EE frameworks is a plus, such as Struts, Spring, Hibernate, etc.
Moreover, the candidates should:
Be a team player with high degree of professionalism
Have good verbal and written communication skills in both English and Chinese
Who We Are
We help organizations profit from Big Data flow.
Opera Solutions was founded in 2004 with 10 people and a notion that the world's flow of information — just then starting to intensify — was going to be the oil of the 21st century.
Today, Big Data has exploded. And Opera numbers approximately 700, has offices in New York, Jersey City, Boston, San Diego, London, Paris, New Delhi, and Shanghai, and has created one of the world's most advanced, end-to-end platforms for using analytics to turn Big Data flows into profit and advantage.
Along the way, our scientists have come in "first equals" in the global Netflix Prize that measured machine learning capabilities. We've established deep relationships with top-tier organizations around the world. And we've attracted a team of extraordinarily people — scientists, software developers, data management specialists, and business domain experts — from six continents.
We've built one of the world's premier centers of predictive analytics and machine learning science, with over 220 scientists and extensive libraries of proprietary signals and models. We have created Vektor™ — a secure and flexible Big Data analytics platform that extracts powerful signals and insights from massive amounts of data flow, and then streams analytically enriched guidance and recommendations directly to the front lines of business operations. And all without major IT or infrastructure impact for our customers.
Our solutions drive real and measureable improvement, because they focus on the most important business leverage points where machine learning science can make a big difference. We bring these solutions to core industry sectors — financial services, healthcare, and government — plus other selected industries where Big Data analytics are particularly powerful.
We engage with our customers in two ways. With Enterprise Solutions, we work with the Global 250 and large governmental entities to identify where they can extract maximum value from their Big Data reserves. Then we build transformative solutions that do just that.
With Vertical Solutions, we work with the Fortune 1000 and midmarket companies to create and provide hosted delivery of analytics products that solve specific problems faced by industries and functions — in fraud, marketing, portfolio valuation and risk, spend optimization, and many others. |
发表于 2015-5-7 14:00:48