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Data Engineer II

Amazon is a global leader in e-commerce and cloud computing, known for innovation in online retail, artificial intelligence, and digital streaming.
Data
Mid-Level Software Engineer
5,000+ Employees
4+ years of experience
AI · Enterprise SaaS · E-Commerce...
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Description For Data Engineer II

Amazon is seeking a Data Engineer II to join their Transportation team, focusing on taking Transportation and Retail models to the next generation. This role is part of the world-class Business Intelligence for Transportation team.

As a Data Engineer II, you will be responsible for designing, building, and maintaining complex data solutions for Amazon's Operations businesses. You'll work with large-scale data processing, optimize data structures, and implement big-data technologies like Redshift, Hive/EMR, Tez, and Spark.

Key responsibilities include:

  1. Designing and maintaining complex data solutions
  2. Participating in code reviews, design discussions, and team planning
  3. Making appropriate trade-offs and efficient use of resources
  4. Staying updated on advances in distributed systems
  5. Developing scalable and maintainable data architectures
  6. Owning data quality for important datasets

The ideal candidate will have:

  • 4-7 years of experience in quantitative analysis
  • Strong experience in Data Warehouse and Business Intelligence application development
  • Expert knowledge in SQL and query optimization
  • Experience with scripting languages like Perl or Python
  • BS/MS degree in Computer Science
  • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda

This role offers the opportunity to work on complex, modular projects and assume a leading role in shaping the future of Amazon's transportation and retail models. Join us to solve challenging problems and make a significant impact on a global scale.

Last updated 8 months ago

Responsibilities For Data Engineer II

  • Design, build, and maintain complex data solutions for Amazon's Operations businesses
  • Participate in code reviews, design discussions, and team planning
  • Make appropriate trade-offs and efficient use of resources
  • Implement and evaluate big-data technologies (Redshift, Hive/EMR, Tez, Spark)
  • Develop scalable and maintainable data architectures
  • Own data quality for important datasets

Requirements For Data Engineer II

Python
  • 4-7 years of experience in quantitative analysis
  • Strong experience in Data Warehouse and Business Intelligence application development
  • Expert knowledge in SQL and query optimization
  • Basic understanding of statistical analysis
  • Experience with scripting languages (Perl, Python)
  • BS/MS degree in Computer Science
  • Experience with large scale data processing and data structure optimization

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