Data Engineer

$118,900 - $205,600/Yr

Amazon - New York, NY

Full-time - Mid Level

New York, NY

10,001+ employees

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

As a Data Engineer at Amazon, you will be part of a dynamic team focused on solving complex problems and creating scalable solutions that enhance customer experiences. Your role will involve working with cutting-edge technologies to manage and analyze large datasets, contributing to various teams across Amazon, and supporting the company's commitment to innovation and customer satisfaction.

Responsibilities

• Design, implement, and support a platform providing secured access to large datasets.
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
• Tune application and query performance using profiling tools and SQL.
• Analyze and solve problems at their root, stepping back to understand the broader context.
• Learn and understand a broad range of Amazon's data resources and know when, how, and which to use and which not to use.
• Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS.
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets.
• Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.

Requirements

• 3+ years of data engineering experience
• Proficient in SQL
• Experience with data modeling, warehousing and building ETL pipelines
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

Nice-to-haves

• 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)
• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

Benefits

• Flexible working hours
• Mentorship and career growth opportunities
• Inclusive team culture
• Work-life balance support