Big Data Engineer at Cygnus Professionals Inc. in Palo Alto, CA

Company Description

Headquartered in New Jersey (U.S), Cygnus Professionals Inc. is a next generation global information technology Solution and Consulting company powered by strong management and leadership team with over 30 person years of experience. Today, Cygnus has strong footprints in more than 4 countries with more than 25 satisfied customers. We strive to extend our presence across industries and geographies with our industry-focused business excellence.

Cygnus Professionals Inc. has been named by the US Pan Asian American Chamber of Commerce Education Foundation (USPAACC) as one of the “Fast 100 Asian American Businesses” – joining the country’s fastest-growing Asian American-owned companies, based on percentage revenue growth over the immediate past two years.

Job Description

Greetings from Cygnus Professionals,

Hope you’re doing great !

I have a requirement for you Kindly go through it, If you feel comfortable and would like to apply for this role so kindly provide me your updated profile along with your contact details and rate part.

Role: Big Data Engineer w/Spark

Location: Palo Alto, CA

Duration: Potential Contract to Hire

Mode of Interview: Skype After Phone

!! Need Green Card OR US Citizen OR EAD GC Candidates Only !!

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Position Description:

• Experience with Java, Spark and Hadoop

• A minimum of 2 years of experience working with distributed systems

• Knowledge in distributed system design, data pipelining, and implementation

• Knowledge in machine learning algorithms

• Knowledge and experience in building large scale applications using various software design patterns and OO design principles

• Experience with either distributed computing (Hadoop/Spark/Cloud) or parallel processing (CUDA/threads/MPI)

• Expertise in design pattern (UML diagrams) and data modeling of large scale analytic systems

• Experience in research, analysis, and the conversion of large amount of raw collected data and content into new sets of data that is structured and does not reduce data context in order to enable the Productization of new products

• Worked with data warehousing and distributed/parallel processing of large data sets using parallel computing system to map/reduce computation and Linux clusters (e.g. Hadoop/Cloud technologies, HDFS); cluster;

• Experienced in modern development methodology such as Agile, Scrum and SDLC

• Ability to work in a research oriented, fast pace, and highly technical environment

• Quick thinker and a fast learner, collaborative spirit, and excellent communication and interpersonal skills

Additional Information

** U.S. Citizens and those who are authorized to work independently in the United States are encouraged to apply. We are unable to sponsor at this time. ** All your information will be kept confidential according to EEO guidelines.