Data Engineer, Stores Finance Analytics & Insights

Global technology company leading in e-commerce, cloud computing, and artificial intelligence
$91,200 - $185,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
1+ year of experience
Enterprise SaaS · Finance

Description For Data Engineer, Stores Finance Analytics & Insights

Stores Finance Analytics & Insights (SFAI) team at Amazon is seeking a Data Engineer to join their dynamic team. This role offers an opportunity to work with one of the world's largest data warehouse environments, leveraging AWS big data technologies. The ideal candidate will be data-driven, detail-oriented, and passionate about technology, with the ability to design and implement scalable data infrastructure solutions.

The position involves working with multiple heterogeneous data sources, creating efficient data pipelines, and supporting complex data warehouse environments. You'll collaborate with cross-functional teams including Product, Data Science, and Business Intelligence to deliver impactful solutions. The role offers exposure to cutting-edge AWS technologies and the chance to work on large-scale data challenges.

The compensation package is comprehensive, ranging from $91,200 to $185,000 based on location and experience, plus additional benefits including equity, sign-on bonuses, and full medical coverage. This is an excellent opportunity for a data professional to make a significant impact while working with some of the most advanced data systems in the industry.

Amazon offers a collaborative and inclusive work environment, with opportunities for professional growth and development. The role provides a perfect blend of technical challenges and business impact, making it an ideal position for someone looking to advance their career in data engineering while working on meaningful projects at scale.

Last updated 2 days ago

Responsibilities For Data Engineer, Stores Finance Analytics & Insights

  • Design and develop data pipelines for extraction, transformation, and loading from various data sources
  • Oversee and improve production operations including data delivery optimization
  • Establish and maintain best practices for data integration solutions
  • Work with Product teams, Data Scientists, and Business Intelligence Engineers
  • Debug data processing and orchestration code
  • Design and implement scalable data infrastructure solutions

Requirements For Data Engineer, Stores Finance Analytics & Insights

Python
PostgreSQL
  • 1+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with SQL and related query languages
  • Experience with scripting languages like Python
  • Experience writing and optimizing SQL queries with large-scale datasets
  • Knowledge of AWS big data technologies

Benefits For Data Engineer, Stores Finance Analytics & Insights

Medical Insurance
Dental Insurance
Vision Insurance
401k
Equity
  • Medical benefits
  • Financial benefits
  • Comprehensive benefits package
  • Equity compensation available
  • Sign-on payments possible

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