Data Engineer, DS2-Science

3 weeks ago


Denver, Colorado, United States Amazon Full time

The Amazon Devices team is seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, implementing, and supporting an analytical data infrastructure using AWS technologies.

You will work closely with business stakeholders, software development engineers, and scientist colleagues to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Your work will have a direct impact on the day-to-day decision making in the Amazon Devices Sales & Operations Technology, and end customers.

The successful candidate will be an analytical problem solver who enjoys diving into data, is excited about solving ambiguity problems, can multi-task, and can credibly interface between technical teams and business stakeholders.

Key Responsibilities:

  • Design, implement, and support an analytical data infrastructure using AWS technologies
  • Build robust and scalable data integration (ETL) pipelines using SQL, and AWS data storage technologies like Aurora, Red Shift, etc.
  • Design and develop Analytics applications using modern scripting languages (Python, R, PHP, etc) supporting critical business functions.
  • Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
  • Lead architecture design and implementation of next generation BI solution

About the Team:

Our team's north star is to empower the device software and services organization, along with its business partners, to make accurate and well-contextualized decisions quickly, helping them focus on delivering the best possible device customer experiences.

We achieve this by integrating business intelligence and machine learning into human and system decision flows through scalable, configurable, and reusable foundational services.

Basic Qualifications:

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

Preferred Qualifications:

  • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
  • Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)


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