Data Engineer II, Global Logistics, Exports
Core
Design and build scalable ETL pipelines and data architecture to support global cross-border trade and logistics analytics for customers, sellers, and vendors.
Role type
Senior IC data engineer (global logistics)
Builds
Scalable ETL pipelines, data warehouses, internal tools, and APIs for analytics and reporting
Domain
E-commerce, global logistics, cross-border trade
Deliverable
production ML models | product features | dashboards & analysis
Required skills
ETL pipeline design, data modeling, warehousing, Python, SQL, distributed systems, AWS services, relational and non-relational databases, security controls, data governance, automation, generative AI/LLM application
Preferred skills
AWS Redshift, S3, Glue, EMR, Kinesis, FireHose, Lambda, IAM, object storage, document stores, key-value stores, graph databases, column-family databases
Technologies
Python, Spark, SQL, AWS (S3, Glue, Redshift, EMR, Lambda, Kinesis), Oracle, NoSQL, generative AI, LLMs
Responsibilities
Design and implement ETL pipelines, optimize query performance, manage AWS resources, ensure data quality and scalability, automate processes, partner with developers and data scientists, conduct code reviews, apply AI/ML to data engineering use cases
Seniority
Mid-level, hands-on IC
