Data Engineer I, Amazon

Amazon Pay's Data Engineering and Analytics team is seeking a Data Engineer I to lead data engineering efforts and drive automation for the Amazon Pay organization. In this role, you will be part of a team that envisions, builds, and delivers high-performance, fault-tolerant data pipelines. You'll work with cross-functional partners from Science, Product, SDEs, Operations, and leadership to translate raw data into actionable insights, empowering stakeholders to make data-driven decisions.

Key responsibilities include:

• Designing, implementing, and supporting a platform for ad-hoc access to large data sets
• Extracting, transforming, and loading data from various sources
• Implementing data structures using best practices in data modeling, ETL/ELT processes, and SQL, Redshift, and OLAP technologies
• Modeling data and metadata for ad-hoc and pre-built reporting
• Gathering requirements from business customers and delivering complete reporting solutions
• Building robust and scalable data integration pipelines using SQL, Python, and Spark
• Delivering high-quality data sets to support business analysts, data scientists, and customer reporting needs
• Continuously improving reporting and analysis processes, automating or simplifying self-service support

The Amazon Pay Data Engineering and Analytics team's mission is to transform raw data into actionable insights by providing a single source of truth, standardized metrics, reporting with deep dive capabilities, ML models, and insights that identify growth opportunities and drive the Amazon Pay flywheel.

This role offers an exciting opportunity to work with big data technologies and AWS services while contributing to the growth of Amazon Pay's data-driven decision-making capabilities.