Data Engineer II

Amazon's International Stores Finance Central Engineering team is seeking a data-minded engineer to design and build intricate ETL pipelines and analytics solutions powering data-driven decisions across Amazon’s rapidly expanding international business. This Seattle-based onsite role focuses on steering the technical design, development, and deployment of a new global finance data system, while mentoring junior engineers and establishing coding standards to ensure deliverables meet high quality expectations. The position carries a salary range of USD 132,100 to 178,800 per year.

Responsibilities

• 5+ years as a Data Engineer or in a similar role
• Experience with data modeling, data warehousing, and building ETL pipelines
• Experience leading and influencing the data strategy of your team or organization
• Experience in SQL
• A Bachelor's degree in Computer Science or similar major
• Hands-on experience leading delivery and operations of distributed, high quality systems
• Fundamentals in data structures, algorithm, problem solving, and complexity analysis

Requirements

• 3+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL
• Experience working on and delivering end to end projects independently

Technologies

• AWS
• Redshift
• S3
• AWS Glue
• EMR
• Kinesis
• FireHose
• Lambda
• IAM
• SQL

Benefits

• Health insurance
• 401(k) matching
• Paid time off
• Parental leave

Description

The International Stores Finance Central Engineering team is looking for a motivated, solution-focused Data Engineer to craft and deploy complex ETL pipelines and analytics solutions that support data-driven choices across Amazon’s international footprint. You will guide the technical design, development, and rollout of a new finance data system intended to serve global finance needs, delivering data as a service that informs day-to-day decisions.

Basic Qualifications

• 3+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL
• Experience working on and delivering end to end projects independently

Preferred Qualifications

• 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)