Data Engineer: Build Scalable Data Platforms and Pipelines

American Express; Phoenix (AZ); Híbrido; USD 110.000 - 140.000; Jornada completa

Descripción de la vacante

American Express Travel Related Services Company, Inc. seeks Data Engineers to collaborate with product teams to understand business data requirements, identify data needs and sources to create data architecture and support changes and implementation.

Document data requirements and data stories, and maintain data models to ensure seamless integration into existing data architectures. Build and enhance database design and infrastructure that supports the business portfolio, with production

Formación

• Bachelor’s degree in a STEM field is required.
• 5 years of progressive database administration experience.
• 1 year of experience with automation scripts and data tooling.
• Experience with data modeling, API tech, and CI/CD tools.
• Proficiency with Jira/Backlog and Git for issue tracking and version control.

Responsabilidades

• Understand business data requirements and build data architecture.
• Document data requirements and data stories; maintain data models for integration.
• Design and enhance database infrastructure to support the portfolio.
• Perform design reviews, testing support, and production DB support.
• Monitor database needs based on trends and new technologies.

Conocimientos

Database administration

Data architecture

Data modeling

UAT

Educación

Bachelor's degree in Computer Science, Engineering, Information Systems, or related STEM field

Herramientas

Eclipse

IntelliJ

Jira

Backlog

Git

REST API

Apache Airflow

Apache Flink

Big Data

Elasticsearch

ETL

Hive

Jenkins

JSON

Kafka

Kibana

Linux

MemSQL

NoSQL databases

Python

Spark

Descripción del empleo

American Express Travel Related Services Company, Inc. seeks Data Engineers to collaborate with product teams to understand business data requirements, identify data needs and sources to create data architecture and support changes and implementation.

Document data requirements and data stories, and maintain data models to ensure seamless integration into existing data architectures. Build and enhance database design and infrastructure that supports the business portfolio, with production