Data Engineer, DSP Analytics

Amazon is a global technology company working to be the most customer-centric company on earth, including in fulfillment and delivery.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · Logistics

Description For Data Engineer, DSP Analytics

Amazon Last Mile DSP is seeking a Data Engineer to join their DSP Analytics team, focusing on building end-to-end engineering solutions for driver safety initiatives. This role is part of Amazon's mission to be the most customer-centric company, particularly in fulfillment and delivery operations.

The position requires someone passionate about technology who can dive deep into data insights and build scalable real-time analytical platforms. The ideal candidate will have deep expertise in managing datasets across various platforms and excellent interpersonal skills to work with business stakeholders.

As a Data Engineer, you'll be responsible for:

  • Designing and implementing complex data pipelines in Amazon's platform
  • Developing new engineering patterns using cloud architectures
  • Managing data flow from multiple production systems
  • Building scalable, cost-effective solutions
  • Delivering data-driven insights for immediate business impact

The team is part of the core Amazon DSP business intelligence group, focused on enabling data, insights, and science-driven decision-making. It's a relatively new team without legacy operational burden, offering opportunities to:

  • Dive deep into complex business and data problems
  • Drive large-scale technical solutions
  • Raise the bar for operational excellence
  • Work with exceptionally talented team members
  • Share ideas and learnings in a collaborative environment

The role offers exposure to various AWS technologies including Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, and Lambda. You'll be working in a dynamic environment where you can make significant contributions to Amazon's last-mile delivery operations while growing your technical and business acumen.

Last updated 7 hours ago

Responsibilities For Data Engineer, DSP Analytics

  • Design and implement complex data pipelines
  • Develop new engineering patterns leveraging cloud architectures
  • Build scalable and robust data solutions
  • Work with business owners to understand data requirements
  • Deliver data-driven insights for decision-making

Requirements For Data Engineer, DSP Analytics

  • 3+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with SQL

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