Data Engineer – Worldwide Ops Finance Standardization & Automation

About the role

We are looking for a customer‑centric Data Engineer to join the Worldwide Operations Finance Standardization & Automation team. You will help build a reliable, accessible data platform that enables finance and product teams to make data‑driven decisions across Amazon’s Customer Fulfillment business.

Key responsibilities

• Design, build, and maintain complex data solutions and ETL pipelines using Python, Spark, SQL, and AWS services (S3, Glue, Redshift, MWAA, EMR, Lambda).
• Develop scalable data architecture to support reporting, analytics, GenAI models, and ad‑hoc requests.
• Interface with technology teams to extract, transform, and load data from heterogeneous sources while ensuring data quality.
• Collaborate with business owners, Finance, and Product teams to gather requirements and deliver data sets.
• Participate in code reviews, design discussions, and team planning activities.

Required profile

• Strong communication skills and ability to work with cross‑functional stakeholders.
• Experience developing and operating data service platforms using Python, Airflow, and SQL.
• Proficiency in automating deployments with AWS CodeDeploy, CodePipeline, CDK, and CloudFormation.
• Hands‑on experience with AWS services such as Redshift, Glue, S3, IAM, and CloudWatch.
• Deep knowledge of data warehousing, BI application development, and SQL query optimization.
• Programming experience in Scala or Python.

Required skills

• Python
• SQL
• Spark
• Scala
• Airflow
• AWS Redshift
• AWS Glue
• AWS S3
• AWS IAM
• AWS CloudWatch
• AWS MWAA
• AWS EMR
• AWS Lambda
• AWS CodeDeploy
• AWS CodePipeline
• AWS CDK
• AWS CloudFormation