Data Engineer III - AMZ4239

Seattle, Washington, USA

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Amazon.com

Posted 1 month ago

MULTIPLE POSITIONS AVAILABLE
Entity: Amazon.com Services LLC, an Amazon.com Company
Title: Data Engineer III
Worksite: Seattle, WA

Position Responsibilities:
Design, implement, and support ETL pipelines for enterprise-scale datasets, using SQL and Big Data tools, such as Hive, Pig, Spark, and Hadoop. Model data and metadata to support Ad hoc and pre-built reporting. Interface with business customers, gathering requirements, and delivering complete data engineering solutions. Analyse several Terabytes of customer grain data, heavily use AWS services such as AWS Flow, S3, EC2, EMR, Kinesis, DynamoDB to manage our data workflows, and tune query performance. Provide guidance and support for engineers with industry best practices and direction. Evaluate and select tools for processing data, including both internally developed and industry tools.

Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation #0000

Basic Qualifications


Position Requirements:

Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field and four years of experience in the job offered or a related occupation. Must have one year of experience in the following skills: working with Big Data technologies such as Hadoop, Hive, HBase, Pig, or Spark; data modelling, ETL development, and data warehousing; coding in at least one modern programming language such as Python, Ruby, or Java; and experience with Oracle.

Preferred Qualifications

Applicants must meet all of the above listed requirements for this position.
Job tags: AWS Big Data Data Warehousing Engineering ETL Hadoop Java Oracle Python Ruby Spark SQL