Amazon - Arlington, VA

posted 21 days ago

Full-time - Mid Level
Arlington, VA
Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Data Engineer position within the Accounting BI team at Amazon focuses on supporting the global Accounting organization through process automation, developing automated reporting solutions, and enhancing the ability to process and analyze financial data. The role requires a strong data modeling background and expertise in cloud infrastructure, aimed at optimizing data for business intelligence solutions while collaborating with various technical roles across the organization.

Responsibilities

  • Identify and scope the right data architecture and technology for analyzing Amazon customer behavioral questions.
  • Enhance data infrastructure and availability in partnership with engineering teams.
  • Design, build, and implement ETL processes using AWS and similar technologies.
  • Implement anomaly detection systems to proactively address data quality issues.
  • Enable large scale analytics using EMR and other big data technologies.
  • Establish and implement technology best practices across the organization.
  • Work on proof of concepts for the adoption of new technology and tools.

Requirements

  • 2+ years of data engineering experience
  • Experience with data modeling, warehousing, and building ETL pipelines
  • Experience with SQL
  • Experience with one or more query languages (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
  • Experience with one or more scripting languages (e.g., Python, KornShell)
  • Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
  • Knowledge of AWS Infrastructure

Nice-to-haves

  • Master's degree in Computer Science, Computer Engineering, or related fields
  • Experience with big data technologies such as Hadoop, Hive, Spark, EMR

Benefits

  • Diverse and inclusive workplace
  • Equal opportunity employer
  • Workplace accommodations for disabilities
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