Data Engineer II, Amazon Last Mile

Global technology and e-commerce company focused on online retail, cloud computing, digital streaming, and artificial intelligence.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · Logistics

Description For Data Engineer II, Amazon Last Mile

Join Amazon's Last Mile Science & Technology organization as a Data Engineer II, where you'll be at the forefront of improving Amazon's Last Mile delivery network. In this role, you'll collaborate with Product Managers, Data Scientists, and Software Engineers to leverage data and analytics for optimizing route efficiency for drivers. You'll work with AWS technology stack including S3, Glue, IAM, Redshift, and Athena to develop complex data engineering solutions. The position requires expertise in handling large datasets, building data processes, and performance tuning. You'll be responsible for developing ETL pipelines, working with various data sources, and creating unified data models for analytics. This role at Amazon offers the opportunity to work on meaningful projects that directly impact the efficiency of Amazon's delivery operations while working with cutting-edge technology. The position combines technical expertise with business acumen and requires strong communication skills to work effectively with cross-functional teams in a fast-paced environment.

Last updated 3 minutes ago

Responsibilities For Data Engineer II, Amazon Last Mile

  • Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack
  • Extract huge volumes of structured and unstructured data from various sources
  • Develop and manage ETLs to source data from various systems
  • Perform detailed source-system analysis and transformation analysis
  • Participate in full development cycle for ETL
  • Drive programs and mentor resources to build scalable solutions

Requirements For Data Engineer II, Amazon Last Mile

Python
  • 3+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with AWS technologies preferred (Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda)
  • Experience with non-relational databases preferred

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