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Position Details: Sr. Bigdata Datascience Developer(813038N)

Location: Beaverton, OR
Openings: 1
Job Number:

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Description:

Client is embracing BigData technologies to enable data-driven decisions.  We’re looking to expand our HadoopEngineering team to keep pace.  As a Sr. BigdataDatascience developer you will work with a variety of talented Client teammatesand be a driving force for building solutions for Client Digital.  You will be working on development projectsrelated to consumer behavior, commerce, and web analytics.

 

Responsibilities:

·        Designand implement distributed data processing pipelines using Spark, Hive, Sqoop,Python, and other tools and languages prevalent in the Hadoop ecosystem.  Ability to design and implement end to endsolution.

·        Buildutilities, user defined functions, and frameworks to better enable data flowpatterns.

·        Research,evaluate and utilize new technologies/tools/frameworks centered around Hadoopand other elements in the Big Data space.

·        Build andincorporate automated unit tests, participate in integration testing efforts.

·        Work withteams to resolving operational & performance issues

·        Work witharchitecture/engineering leads and other teams to ensure quality solutions areimplements, and engineering best practices are defined and adhered to.

 

Qualification:

·        MS/BSdegree in a computer science field or related discipline

·        6+ years’experience in large-scale software development

·        2+ year experience in Hadoop

·        2+ yearexperience in Data Science

·        Strongdevelopment skills around Hadoop, Spark, MapReduce, Hive

·        StrongJava programming, Python, shell scripting, and SQL

·        Goodunderstanding of file formats including Parquet, Avro, JSONand others

·        Goodunderstanding ofR, TensorFlow, SAS or similar

·        Experiencewith performance/scalability tuning, algorithms and computational complexity

·        Experience(at least familiarity) with data warehousing, dimensional modeling and ETLdevelopment

·        Provenability to work cross functional teams to deliver appropriate resolution

 

Nice to have:

·        Experiencewith AWS components and services, particularly, EMR, S3, and Lambda

·        Machinelearning frameworks

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