Data Engineer I, Intl. Seller Growth

$91,200 - $185,000/Yr

Amazon - Seattle, WA

Full-time - Entry Level

Seattle, WA

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

About the position

The Data Engineer I position within the International Seller Services (ISS) Central Analytics Data Engineering team focuses on creating and maintaining data and machine learning infrastructure. The role involves providing technical leadership, building scalable analytical solutions, and working with large datasets to support various customer applications. The ideal candidate will have a strategic approach to architecting advanced data ecosystems and integrating data systems with AWS tools.

Responsibilities

• Provide technical leadership and lead data engineering initiatives.
• Build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective.
• Design, implement, and operate large-scale, high-volume, high-performance data structures for analytics and data science.
• Implement data ingestion routines using best practices in data modeling and ETL/ELT processes leveraging AWS technologies and big data tools.
• Gather business and functional requirements and translate them into robust, scalable, operable solutions with a flexible data architecture.
• Collaborate with engineers to adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation.
• Identify opportunities for improvements in existing data solutions.

Requirements

• Bachelor's degree
• 1+ years of data engineering experience
• Experience with data modeling, warehousing, and building ETL pipelines
• Experience with one or more query languages (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
• Experience with one or more scripting languages (e.g., Python, KornShell)
• Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets.

Nice-to-haves

• Experience with big data technologies such as Hadoop, Hive, Spark, EMR
• Experience with ETL tools like Informatica, ODI, SSIS, BODI, Datastage.

Benefits

• Full range of medical benefits
• Financial benefits including equity and sign-on payments
• Diverse and inclusive workplace
• Equal opportunity employer