Sr. Big Data Hadoop Engineer

Role:                                     Sr. Big Data Hadoop Engineer 
Location:                             Beaverton, Oregon
Emp Type:                           Permanent Job
Interview:                            Phone/Skype
 
5-8 yrs 
•        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 API’s 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 
•        6+ years’ experience in large-scale software development 
•        3+ year experience in Big Data technologies 
•        Strong programming skills in Java/Scala, Python, Shell scripting, and SQL 
•        Strong development skills around Spark, MapReduce, and Hive 
•        Strong skills around developing RESTful API’s 
•        As a Sr. Big Data Engineer you will work with a variety of talented teammates and will be a driving force for building solutions.  You will be working on projects related to consumer behavior, commerce, and consumer touchpoints. 
Good communication skills 
• MS/BS degree in a computer science or related discipline 
Big Data, Hadoop, Spark, Hive, SQL, AWS, Python

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