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Job Description

Amazon Web Services, Inc. is hiring a Data Engineer II onsite in Atlanta, GA, with a salary range of USD 132,100 to 178,800 per year.

Responsibilities

  • Architect, develop, test, document, and operate scalable, high-volume data structures to support business intelligence analytics.
  • Build data structures applying best practices in data modeling, ETL/ELT processes, SQL, Oracle, and OLAP technologies.
  • Provide online reporting and analysis using OBIEE, leveraging a logical abstraction layer across large, multi-source, multidimensional datasets.
  • Gather business and functional requirements and translate them into robust, scalable data solutions aligned with the overall data architecture.
  • Analyze source data systems and promote best practices across source teams.
  • Participate in the full development life cycle from design and implementation through testing, documentation, delivery, support, and maintenance.
  • Produce comprehensive dataset documentation and metadata for usability and reuse.
  • Evaluate dataset implementations proposed by peer data engineers and make informed decisions.
  • Evaluate the use of new or existing software products and tools to strengthen data capabilities.
  • Mentor junior data engineers to develop technical skills and promote best practices.

Requirements

  • Master's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field with one year of related experience, or equivalent experience in roles such as Operations Research Analyst or Database Developer.
  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field with five years of related experience, or as equivalent to the Master's degree and one year of experience.
  • One year of experience in ETL/ELT processes.
  • One year of experience in OLAP technologies.
  • One year of experience in data modeling.
  • One year of experience in SQL.
  • One year of experience in Oracle.

Technologies

  • OBIEE
  • SQL
  • Oracle
  • OLAP

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