Global Mile (GM) Exports supports Amazon’s strategic vision of bringing worldwide cross-border product selection at the lowest price to our customers and helping sellers and vendors (manufacturers, distributors and brand owners) navigate international trade and logistics. We design and build products and programs with a focus on customer, seller, vendor experience and global scalability.

GM Exports works directly with logistics cross-border carriers and partner with several stakeholder teams to constantly improve the international delivery experience. In GM Exports, the Exports Visibility team is seeking a highly skilled and motivated Data Engineer to join our team in Bellevue. GM Exports is growing rapidly in scope, scale and complexity – driving ever growing data needs to support critical business decisions. Our ideal candidate is someone who is always learning as the business grows and as relevant technologies continue to evolve. If you enjoy innovating, thinking big and want to contribute directly to the success of an industry changing business, you may be a prime candidate for this position.

Key job responsibilities

• Contribute to the architecture, design and implementation of next generation BI solutions – including streaming data applications.
• Manage AWS resources including EC2, RDS, Redshift, Kinesis, Lambda etc.
• Collaborate with data scientists, BIEs and BAs to deliver high quality data architecture and pipelines.
• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers

Basic Qualifications

• Bachelor’s degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering).
• 3+ years of relevant experience in one of the following areas: Data engineering, database engineering, business intelligence or business analytics.
• 3+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets.
• 3+ years of experience in scripting languages like Python etc.
Demonstrated strength in data modeling, ETL development, and Data warehousing. Data Warehousing
• Experience with Redshift
• Experience using big data technologies (Hadoop, Hive, Hbase, Spark, EMR, etc.)
• Knowledge of data management fundamentals and data storage principles
• Knowledge of distributed systems as it pertains to data storage and computing
• Experience in working and delivering end-to-end projects independently.

Preferred Qualifications

• 5+ years of experience as a Data Engineer, BI Engineer, Business/Financial Analyst or Systems Analyst in a company with large, complex data sources.
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
• Experience with AWS services including Redshift, EMR, Kinesis, S3 and RDS.
• Demonstrated strength in data modeling, ETL development, and data warehousing
• Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
• Experience providing technical leadership and mentoring other engineers for best practices on data engineering