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Hadoop Lead

Job in Beaverton, Washington County, Oregon, 97078, USA
Listing for: Ventures Unlimited Inc
Full Time position
Listed on 2026-08-06
Job specializations:
  • Software Development
    Data Engineering, Python
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below

Ventures Unlimited is a service centric organization. Our success begins with our ability to apply our relationships, leverage technologies, and identify talent - often in combination - to an endless array of real-world customer needs.

Job Description

Position: Hadoop Lead with Python

Location: Beaverton, OR

Duration: Full Time

Responsibilities
  • Design and implement map reduce jobs to support distributed processing using Java, Python, Hive and Pig;
    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 acquisition and consumption strategies.
  • Define and develop best practices.
  • Work with support teams to resolve operational and performance issues.
  • Collaborate with architecture and engineering leads and other teams on capacity planning.
  • Co‑operate with the Site‑Operations team on configuration and upgrades of the cluster.
  • Maintain excellent communication skills.
Qualifications
  • MS/BS degree in a computer science field or related discipline.
  • At least 8 years of experience in large‑scale software development.
  • Experience with data warehousing, dimensional modeling and ETL development.
  • Strong Java programming, shell scripting, Python, and SQL skills.
  • Strong development skills around Hadoop, Map Reduce, Hive, Pig, and Impala.
  • Strong understanding of Hadoop internals.
  • Good understanding of AVRO and JSON.
  • Experience with build tools such as Maven.
  • Experience with databases like Oracle.
  • Experience with performance and scalability tuning, algorithms, and computational complexity.
  • Experience (or familiarity) with data warehousing, dimensional modeling and ETL development.
  • Capability to understand ERDs and relational database schemas.
  • Proven ability to work cross‑functional teams to deliver effective resolutions.
  • Experience with open‑source No

    SQL technologies such as HBase and Cassandra.
  • Experience with messaging and complex event processing systems such as Kafka and Storm.
  • Machine learning framework experience is a plus.
  • Statistical analysis skills with Python, R, or similar.
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