Data Engineer, GSF, Data Platform Team

World's largest internet retailer, reinventing global supply chain and international e-commerce
$118,900 - $205,600
Data
Senior Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · E-Commerce · Logistics

Description For Data Engineer, GSF, Data Platform Team

Amazon, the world's largest internet retailer, is seeking a senior data engineer to join their GSF Data Platform Team. This role is crucial in reinventing the global supply chain and international e-commerce operations. The position focuses on developing and improving the Workforce Planning Analytics platform used for planning, reporting, and forecasting purposes.

The ideal candidate will work with various stakeholders, including Business Analysts, Site Leads, and Program Management teams. They will be responsible for driving strategic initiatives to improve reporting efficiency, developing new bridging workflow tools, and establishing key performance metrics. The role requires someone who can combine strong data engineering skills with business acumen and comfort in working with ambiguity.

The position offers an opportunity to work with cutting-edge AWS technologies, building robust data integration pipelines, and developing analytics applications. The successful candidate will be involved in designing and implementing next-generation BI solutions while working with technologies like AWS Redshift, S3, AWS Glue, EMR, and various database systems.

This role offers competitive compensation ranging from $118,900 to $205,600 per year, based on geographic location, along with comprehensive benefits including medical coverage and potential equity compensation. The position is available in Nashville, TN and Seattle, WA, providing opportunities in major tech hubs while working for one of the world's most innovative companies.

The ideal candidate will have at least 3 years of data engineering experience, strong proficiency in SQL and Python, and experience with data modeling and ETL pipelines. They should be detail-oriented, innovative in solving data challenges, and excellent at communication with cross-functional teams.

Last updated 3 months ago

Responsibilities For Data Engineer, GSF, Data Platform Team

  • Design, implement and support analytical data infrastructure using AWS technologies
  • Build robust and scalable data integration (ETL) pipelines
  • Design and develop Analytics applications using modern scripting languages
  • Gather business and functional requirements
  • Lead architecture design and implementation of next generation BI solution
  • Improve reporting and analysis processes
  • Manage Workforce Planning Analytics platform

Requirements For Data Engineer, GSF, Data Platform Team

Python
PostgreSQL
  • 3+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Proficiency in SQL/DWH/Python
  • Good communication skills

Benefits For Data Engineer, GSF, Data Platform Team

Medical Insurance
  • Medical Insurance
  • Financial Benefits

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