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Sr.Hadoop Developer

Job in Beaverton, Washington County, Oregon, 97078, USA
Listing for: Bridge Technologies and Solutions
Full Time position
Listed on 2026-06-27
Job specializations:
  • Software Development
    Data Engineering, Software Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below

Typically requires a Bachelors Degree and minimum of 5 years 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 team mates 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 solution.
  • Build libraries, user defined functions, and frameworks around Hadoop
  • Research, evaluate and utilize new technologies/tools/frameworks around Hadoop eco system
  • Develop user defined functions to provide custom hive and pig capabilities
  • Define and build data acquisitions and consumption strategies
  • Define & develop best practices
  • Work with support teams in resolving operational & 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’ experience in large-scale software development
  • 1+ year experience in Hadoop
  • Strong Java programming, shell scripting, Python, and SQL
  • Strong development skills around Hadoop, Map Reduce, 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 and ERDs and relational database schemas
  • Proven ability to work cross functional teams to deliver appropriate resolution
Nice to have
  • Experience with open source NOSQL technologies such as HBase and Cassandra
  • Experience with messaging & complex event processing systems such as Kafka and Storm
  • Machine learning framework
  • Statistical analysis with Python, R or similar
Additional Information

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

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