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Sonsoft Inc Verified 26h ago

BI Hadoop - Teradata - L3 Support Engineer

New Brunswick, NJ, United States On-site

Salary not listed
PaySalary not listed
TypeFull-time
Work settingOn-site
Verified listing

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About the role

Company Description 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. Job Description Checklist for hiring: • Should have worked in production support projects for 1-2 years/Project • Should have good knowledge on teradata performance optimization & tuning • Should have knowledge on ticketing tool • Hadoop, Hive working knowledge will be good • Manage complex data loading operations • Should have knowledge on ITIL process Job Description : • Should have 5-7 yrs of experience in Teradata & Hadoop technology & having ETL experience would be good • Should have good data modelling knowledge • Expertise and hand-on experience with the Hive and/or SparkSQL is a must. • Hands-on experience with the Hadoop Ecosystem with large scale data processing requirements. • Proficient with Hive/Pig and workflow automation on Hadoop. • Experience in developing distributed computing systems applications using Hadoop, MapR, Hbase, Hive, Java/MapReduce, Data synapse, Pig, Storm,Kafka,Flume,Sqoop, Cloudera & Hortonworks • Strong experience into Map Reduce and HDFS • Should have strong Pl/SQL experience in teradata & able to handle complex queries • Should be able to handle complex data loading process using teradata utilities Qualifications 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. This is a Full-Time / Permanent job opportunity . • Only US Citizen, Green Card Holder  can apply ** All your information will be kept confidential according to EEO guidelines.

What you'll bring

  • Expertise and hand-on experience with the Hive and/or SparkSQL is a must.