Data Engineer II, WW Ops Finance S&A

Amazon is a global technology and e-commerce company with an Operations Finance organization that builds data platforms for financial reporting and analytics. The Data Engineer II will design, build, and maintain scalable data infrastructure, ETL pipelines, and data models that integrate transportation and finance data and enable trusted self-service reporting.

Responsibilities

Design, build, and maintain scalable ETL pipelines and data solutions using Python, SQL, Spark, and AWS services (S3, Glue, Redshift, Airflow, EMR, Lambda)

Create coherent logical and physical data models that drive the metadata-driven configuration layer, enabling finance teams to define new metrics and views without code changes

Collaborate with finance stakeholders, BI Engineers, and partner teams to gather requirements, integrate automated and manual data feeds, and deliver trusted datasets

Participate in code reviews, design discussions, and team planning while identifying process improvements that increase automation and reduce manual error

Optimize query performance and resource usage across the data platform, ensuring reliability and operational excellence at scale

Preferred

Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Experience building large-scale, high-throughput, 24x7 data systems

AWS technologies

Amazon Redshift

Amazon S3

AWS Glue

Amazon EMR

Amazon Kinesis

Kinesis Firehose

AWS Lambda

IAM roles

IAM permissions

Non-relational databases

Object storage

Document stores

Key-value stores

Graph databases

Column-family databases

Large-scale data systems

High-throughput data systems

24x7 data systems

Benefits

Sign-on payments

Restricted stock units (RSUs)

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)

401(k) matching

Paid time off

Parental leave

Company

Online retail and cloud computing services

Seattle, Washington, USA

https://amazon.com/

Founded in 1994

10001+ employees

Qualifications

3+ years of data engineering experience

Experience with data modeling, warehousing and building ETL pipelines

Bachelor's degree

Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

Knowledge of distributed systems as it pertains to data storage and computing

Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Experience building large-scale, high-throughput, 24x7 data systems

Required skills

Python, SQL, Apache Spark, AWS S3, AWS Glue, Amazon Redshift, Apache Airflow, Amazon EMR, AWS Lambda, Data Modeling, Data Warehousing, ETL Pipelines, Distributed Systems, Non-relational Databases

Experience

3+ years