Data Engineer II, Intelligence & Industrialization

$118,900 - $205,600/Yr

Amazon - Nashville, TN

Full-time - Mid Level

Nashville, TN

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

About the position

The Data Engineer position within the Intelligence & Industrialization (I&I) team at Amazon focuses on developing robust data infrastructure to support the Global Supply Chain and Transportation Procurement (GSCTP) and Amazon Customs & Trade (ACT) operations. The role involves working with large datasets, designing and implementing ETL processes, and collaborating with Business Intelligence Engineers and Data Scientists to deliver data-driven insights and solutions. The ideal candidate will leverage AWS services and engineering best practices to enhance data quality, automate processes, and optimize performance.

Responsibilities

• Design, implement and maintain an analytical data infrastructure providing ad-hoc access to large datasets and computing power
• Monitor and optimize database cluster performance and overall health with the implementation of workload management and other mechanisms
• Extract, transform, and load data from a wide variety of sources using SQL and cloud computing technologies
• Implement automated solutions to improve data quality and protect data integrity with a focus on efficiency and scalability
• Collaborate with BI Engineers and Data Scientists to deliver best-in-class data visualization and ML solutions
• Construct and maintain a data catalog to capture key tables, datasets, metrics, and reports used by business stakeholders
• Work with team members to help develop web interfaces that facilitate data sharing and interactions for internal users and external partners

Requirements

• Bachelor's degree
• 3+ years of data engineering experience
• Experience as a data engineer or related specialty with a track record of manipulating, processing, and extracting value from large datasets
• Experience with SQL
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
• Experience in at least one cloud platform (like AWS, Azure, Google Cloud etc.)

Nice-to-haves

• Master's degree
• 5+ years of data engineering experience
• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
• Experience working in the transportation and logistics industry
• Knowledge of statistical modeling and advanced quantitative analytical techniques

Benefits

• Full range of medical benefits
• Financial benefits
• Equity and sign-on payments as part of total compensation package