Big Data Manager :: Beaverton, OR :: CTS at Beaverton, Oregon, USA |
Email: [email protected] |
From: Maneesh, Centraprise [email protected] Reply to: [email protected] Job Title: Big Data Manager Location: Beaverton, OR Job Type: Contract Job Description: Technical Skills- AWS Services, AWS Required Skills - Big Data Management Nice to have skills - AWS EMR, AWS Services, Python, Spark Experience 11+ Years Required skill is Big Data Management Design and implement distributed data processing pipelines using Spark, Hive, Python, and other tools and languages prevalent in the Hadoop ecosystem. Roles & Responsibilities Design and implement distributed data processing pipelines using Spark, Hive, Python, and other tools and languages prevalent in the Hadoop ecosystem. Ability to design and implement end to end solution. Experience publishing RESTful APIs to enable real-time data consumption using OpenAPI specifications Experience with open source NOSQL technologies such as HBase, DynamoDB, Cassandra Familiar with Distributed Stream Processing frameworks for Fast & Big Data like ApacheSpark, Flink, Kafka stream Build utilities, user defined functions, and frameworks to better enable data flow patterns. Work with architecture/engineering leads and other teams to ensure quality solutions are implements, and engineering best practices are defined and adhered to. Experience in Business Rule management systems like Drools If interested, please fill the below details and revert with your updated resume. Candidate Full Name Current Location Phone Email ID Skype ID Linked in ID Passport number Total Years of Experience Education Visa Status Willing to relocate Rate Last 4 Digits of SSN#: Availability to start on the project Previously worked with Cognizant (Y/N) If Yes Provide the CTS Emp ID Interview Availability with the time Zone Thanks & Regards Maneesh Sanghi| US IT Recruiter Centraprise Corp Desk/Direct: 848-271-1949 Ext 1039 3 Ethel Rd, #304, Edison, NJ 08817 [email protected] Keywords: information technology |
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Wed Jan 04 21:55:00 UTC 2023 |