Sr.Hadoop Developer Job at Bridge Technologies and Solutions, Beaverton, OR

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  • Bridge Technologies and Solutions
  • Beaverton, OR

Job Description

Typically requires a Bachelor's Degree and a minimum of 5 years of directly relevant work experience.

Client is embarking on the big data platform in Consumer Digital using Hadoop Distributed File System cluster. As a Sr. Hadoop developer, you will work with a variety of talented client teammates and be a driving force for building solutions. You will be working on development projects related to commerce and web analytics.

Responsibilities
  • Design and implement map reduce jobs to support distributed processing using Java, Cascading, Python, Hive, and Pig; ability to design and implement end-to-end solutions.
  • Build libraries, user-defined functions, and frameworks around Hadoop.
  • Research, evaluate, and utilize new technologies/tools/frameworks around the Hadoop ecosystem.
  • Develop user-defined functions to provide custom Hive and Pig capabilities.
  • Define and build data acquisitions and consumption strategies.
  • Define and develop best practices.
  • Work with support teams in resolving operational and performance issues.
  • Work with architecture/engineering leads and other teams on capacity planning.
Qualifications
  • MS/BS degree in a computer science field or related discipline.
  • 6+ years of experience in large-scale software development.
  • 1+ year of experience in Hadoop.
  • Strong Java programming, shell scripting, Python, and SQL.
  • Strong development skills around Hadoop, MapReduce, Hive, Pig, Impala.
  • Strong understanding of Hadoop internals.
  • Good understanding of Avro and JSON and other compression.
  • Experience with build tools such as Maven.
  • Experience with databases like Oracle.
  • Experience with performance/scalability tuning, algorithms, and computational complexity.
  • Experience (at least familiarity) with data warehousing, dimensional modeling, and ETL development.
  • Ability to understand ERDs and relational database schemas.
  • Proven ability to work with cross-functional teams to deliver appropriate resolutions.

Nice to have:

  • Experience with open-source NoSQL technologies such as HBase and Cassandra.
  • Experience with messaging and complex event processing systems such as Kafka and Storm.
  • Machine learning framework.
  • Statistical analysis with Python, R, or similar.

All your information will be kept confidential according to EEO guidelines.

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Job Tags

Work experience placement,

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