Source description
About the role
Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services.
Skills: – Java, Hive, Impala, Kafka, Spark, Mapreduce, HDFS, HBase and shell scripting
Strong hands on experience with Java, web-services and APIs Strong knowledge and hands-on programming experience in Hadoop ecosystem Experience in Data ingestion (Batch and Real time) , Data Encryption, Reconciliation Strong understanding and hands-on programming/scripting experience skills – preferably Python, Perl, Javascript, UNIX shell Should have worked on large data sets and experience with performance tuning and troubleshooting Experience in all the life cycle phases of the project Should be a strong communicator and be able to work independently with minimum involvement from client SMEs
Preferred:- Experience in NoSQL Databases is preferred. Experience to Financial domain is preferred. Experience and desire to work in a Global delivery environment.
Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 4 years of experience with Information Technology. At least 4 years of Design and development experience in Java and Big data related technologies At least 3 years of hands on design and development experience on Big data related technologies – Hive, Impala, Kafka, Spark, Java ,Mapreduce, HDFS, HBase, and shell scripting
** U.S. citizens and those authorized to work in the U.S. are encouraged to apply . We are unable to sponsor at this time. Note:- This is a Full-Time Permanent job opportunity for you. Only US Citizen, Green Card Holder, GC-EAD , H4-EAD & L2-EAD can apply. No OPT-EAD , TN Visa & H1B Consultants please.
Please mention your Visa Status in your email or resume .
More at SonSoft
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