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Data Engineer, DS2-Science & Data Technology team

Amazon is a leading e-commerce and technology company known for innovative consumer electronics and cloud computing services.
$118,900 - $205,600
Data
Mid-Level Software Engineer
5,000+ Employees
3+ years of experience
AI · Consumer
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Job Description

The Amazon Devices team designs and engineers high-profile consumer electronics, including the best-selling Kindle family of products, Fire tablets, Fire TV, Amazon Dash, and Amazon Echo. As a Data Engineer on the DS2-Science & Data Technology team, you will be a founding member solving significant problems through innovative technology. You'll work with data analytics, machine learning, AI, and linear programming to tackle never-before-solved problems.

Key responsibilities include:

  1. Designing, implementing, and supporting an analytical data infrastructure using AWS technologies
  2. Building robust and scalable data integration (ETL) pipelines using SQL and AWS data storage technologies
  3. Developing Analytics applications using modern scripting languages
  4. Gathering business requirements and translating them into scalable solutions
  5. Leading architecture design and implementation of next-generation BI solutions
  6. Continually improving reporting and analysis processes

You'll work in a complex data environment, employing the right architecture to handle big data and support various analytics use cases. Your work will directly impact decision-making in Amazon Devices Sales & Operations Technology and end customers.

The ideal candidate has strong analytical abilities, excellent communication skills, good business understanding, and technical savvy. You should enjoy diving into data, solving ambiguous problems, multi-tasking, and interfacing between technical teams and business stakeholders.

The team's mission is to empower the device software and services organization to make accurate and well-contextualized decisions quickly, focusing on delivering the best possible device customer experiences. This is achieved by integrating business intelligence and machine learning into human and system decision flows through scalable, configurable, and reusable foundational services.

Last updated a year ago

Responsibilities For Data Engineer, DS2-Science & Data Technology team

  • Design, implement and support analytical data infrastructure using AWS technologies
  • Build robust and scalable data integration (ETL) pipelines
  • Develop Analytics applications using modern scripting languages
  • Gather business requirements and translate them into scalable solutions
  • Lead architecture design and implementation of next-generation BI solutions
  • Continually improve reporting and analysis processes

Requirements For Data Engineer, DS2-Science & Data Technology team

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