Data Engineer

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

You Lead the Way. Weve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex’s Global Loyalty and Benefits organization and let's lead the way together.

About the job :

The position of Engineer will be a part of a dynamic and growing team within the GRCT organization at American Express.

Key Responsibilities:

• Evaluates data requirements and stories, documents them for seamless integration into existing architectures, and maintains data models to support business needs
• Builds and enhances data pipelines and database designs to meet performance, scalability, and security requirements
• Collaborates in design reviews and testing, and provides production environment support with guidance from peers and leaders
• Operates data assets according to consistent standards, guidelines, and policies
• Completes work reviews and fosters a collaborative learning environment
• Communicates and collaborates with business and product teams to facilitate changes and implementation
• Completes Big Data requirements by implementing basic partitioning and indexing solutions
• Collaborates and co-creates effectively with teams in product and the business to align technology initiatives with business objectives
• GCP Expertise- Hands-on experience with GCP services like Big Query, Dataflow, Cloud Storage, Pub/Sub, Cloud Composer, and Cloud Functions.
• Programming Languages- Strong proficiency in Python and SQL for data processing and manipulation.
• ETL/ELT - Experience with ETL/ELT processes and data warehousing concepts.
• Data Modeling - Understanding of data modeling principles and techniques.
• Cloud Technologies - Knowledge of cloud computing concepts and standard processes.
• Problem-Solving - Excellent analytical and problem-solving skills.