Data Engineer, GSF, Data Platform Team

Amazon

World's largest internet retailer, reinventing global supply chain and international e-commerce

Nashville, TN, USA • Seattle, WA, USA

$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

Amazon

World's largest internet retailer, reinventing global supply chain and international e-commerce

Nashville, TN, USA • Seattle, WA, USA

$118,900 - $205,600

Data

Senior Software Engineer

In-Person

5,000+ Employees

3+ years of experience

Enterprise SaaS · E-Commerce · Logistics

Amazon

Unique Paths

Data Structures & AlgorithmsMedium

There is a robot on an m x n grid. The robot is initially located at the top-left corner (i.e., grid0). The robot tries to move to the bottom-right corner (i.e., gridm - 1). The robot can only move either down or right at any point in time. Given the two integers m and n, return the number of possible unique paths that the robot can take to reach the bottom-right corner. The test cases are generated so that the answer will be less than or equal to 2 * 109. For example, if m = 3 and n = 7, the expected output is 28. Explain your approach, provide code, and analyze the time and space complexity. Also discuss edge cases and alternative solutions using combinatorics.

Dynamic Programming

Amazon

How would you design an elevator system for a 20-story building considering various factors and edge cases?

System DesignMedium

Elevator System Design Design an elevator system for a 20-story building. Consider the following: Number of Elevators: How many elevators would you recommend, and why? Elevator Capacity: What should be the capacity (in terms of weight and number of people) of each elevator? Algorithm for Request Handling: Describe an algorithm for efficiently handling elevator requests, considering factors like minimizing wait times and energy consumption. Example: Should the elevator always go to the closest floor first, or should it consider the direction of travel? Edge Cases and Error Handling: How would you handle edge cases such as: Elevator malfunction? Power outage? Overweight elevator? Simultaneous requests from multiple floors? Optimization: How can you optimize the system for peak hours (e.g., morning rush hour, lunch break)? Consider strategies like: Designating specific elevators for up/down travel during peak times. Implementing a learning system that adapts to usage patterns. User Interface: Describe the user interface (both inside the elevator and on each floor) and how it provides feedback to users. Scalability: How would the design change for a 50-story or 100-story building? What are the limitations of your current design? Explain your design choices and justify them with appropriate reasoning. Focus on creating a robust, efficient, and user-friendly elevator system.

Arrays

Dynamic Programming

Greedy Algorithms

Graphs

Recursion

Strings

Trees

Amazon

Describe a time when a plan did not go as expected

Behavioral

Describe a time when a plan did not go as expected.

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