Data modeling, pipelining, transformation, orchestration
As a member of Amex GBT’s Data Enablement Engineering group, you will tackle the organization’s most sophisticated and impactful challenges using cutting-edge data technologies
Job Summary
As a member of Amex GBT’s Data Enablement Engineering group, you will tackle the organization’s most sophisticated and impactful challenges using cutting-edge data technologies.
Working in an agile development mindset, you will contribute to our cloud-based data platform and make sure it scales dynamically and operates reliably.
Every day, data scientists will leverage the platform you build to train and release machine learning models.
Matching Summary
As a member of Amex GBT’s Data Enablement Engineering group, you will tackle the organization’s most sophisticated and impactful challenges using cutting-edge data technologies.
Skills & Requirements
Must-have
Python, Java, Scala, Spark, SQL
Cloud-based data platform
Data modeling, pipelining, transformation, orchestration
Infrastructure as code, automated testing, code reviews
Agile, DevOps, CICD frameworks
Cloud technologies (EMR, Lambda, EC2)
Python, PySpark, SQL
Nice-to-have
Full-stack development (JavaScript, React, Java, Flask)
AI stack technologies (LLM, ML models)
Data-centric applications (chatbots, dashboards)
User interface and API design
Dashboarding tools (Tableau, Power BI, MicroStrategy)
Key Requirements
2+ years of experience as a Data Engineer or Software Development Engineer
Bachelor’s/Master’s Degree in Computer science, mathematics, statistics, economics, or other quantitative fields
Experience with Airflow, Jenkins, Snowflake, and Kinesis