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Position Details: Big Data Engineer - 971893O

Location: Beaverton, OR
Openings: 2
Job Number:




  • Evaluate, extract/transform data for analytic purpose within the context of Bigdata environment.
  • Responsible for using Hive and spark for data warehouse applications to maintain large datasets in AWS S3 and decide on engineering tools based on recommendations.
  • Contribute to ETL and aggregate design.
  • Design and develop spark scripts to gather data insights as per business requirements and collaborate with other teams on integration needs/design.
  • Facilitate or performs application support, problem solving, and issue resolution with internal and external resources. Contributes and reviews recommendations for technical solutions.
  • Resolve big data issues and determine options for issue resolution and risk mitigation.
  • Ensure to use components such as sqoop, hive, spark for development. use open source tools such as Airflow, Genie, EMR and Cloudera Hadoop distribution for the tasks assigned.
  • Review and approve performance test results, recommendations, and tuning results. Oversee and is responsible for the creation of test plans, test execution, and validation of test results.
  • Responsible for EMR Cluster creation, administration, sizing and configuration.
  • Development and unit testing on Hadoop and AWS ecosystem.

Automate and monitor the ETL process and applications.


  • 5+ years of work experience in Data Warehouse/ BI environment.
  • 2+ years of experience working with Hadoop, Hive, Spark
  • Solid understanding of general BI and ETL concepts.
  • Expert level experience in SQL.
  • Working knowledge in Unix/ Linux environments. Shell scripting.
  • Experience with Pyhon.
  • Familiar with AWS technologies like S3, EMR.
  • Familiar with Airflow.
  • Understanding and familiarity with visualization tools like Tableau.

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