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Data Engineer

Global technology and e-commerce company leading in retail, cloud computing, and artificial intelligence.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
4+ years of experience
Enterprise SaaS · Logistics
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Description For Data Engineer

Join Amazon's Transportation team as a Data Engineer to revolutionize Transportation and Retail models. This role combines data engineering expertise with business intelligence to solve complex challenges in Amazon's worldwide operations. You'll work with cutting-edge big data technologies like Redshift, Hive/EMR, and Spark, handling extremely large datasets while ensuring accuracy and timeliness. The position requires strong analytical thinking and metrics-driven decision-making skills.

As a Data Engineer, you'll be responsible for designing and maintaining complex data solutions, participating in code reviews, and making strategic technical decisions. The role demands expertise in SQL optimization, data warehousing, and ETL pipeline development. You'll work with various big data technologies and be responsible for data quality assurance.

The ideal candidate brings 3+ years of data engineering experience, strong SQL proficiency, and a background in data modeling and warehousing. Experience with AWS technologies like Redshift, S3, AWS Glue, and EMR is highly valued. You'll be part of Amazon's world-class Business Intelligence for Transportation team, contributing to solutions that impact global operations.

This position offers the opportunity to work on complex modular projects in a leadership capacity, requiring both technical expertise and the ability to drive practical results. You'll be part of Amazon's innovative culture, working in Hyderabad, India, with exposure to cutting-edge technologies and large-scale data challenges.

Last updated 18 days ago

Responsibilities For Data Engineer

  • Design, build and maintain complex data solutions for Amazon's Operations businesses
  • Participate in code review process, design discussions, and team planning
  • Make appropriate trade-offs and efficient use of resources
  • Design scalable and maintainable data architectures
  • Own data quality of important datasets
  • Optimize complex queries
  • Evaluate and implement big-data technologies

Requirements For Data Engineer

Python
  • 3+ years of data engineering experience
  • 4+ years of SQL experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • BS/MS degree in Computer Science

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