Data Engineer II, Amazon, Amazon Business Payments and Lending (ABPL)
Core
Design, develop, and operate large-scale data structures and ETL pipelines to drive analytics, reporting, and self-serve experiences for global executive management and business leaders.
Role type
Senior Data Engineer
Builds
Large-scale, high-volume data structures, ETL/ELT pipelines, and reporting solutions for Amazon Business Payments and Lending.
Domain
E-commerce, Payments, and Lending
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data modeling, ETL/ELT processes, SQL, Python, Spark, AWS Redshift, OLAP technologies
Preferred skills
AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM, non-relational databases (object storage, document, key-value, graph, column-family)
Technologies
AWS Redshift, SQL, Python, Spark, AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM, S3
Responsibilities
Design and implement high-performance data structures for analytics and reporting; Build scalable data integration pipelines; Automate reporting and analysis processes; Interface with business customers to deliver reporting solutions; Collaborate with analysts and product managers to implement algorithms for statistical analysis and machine learning; Participate in strategic planning and budget processes.
Seniority
Mid-Senior, hands-on IC