As a part of our Global Servicing Group Technology team, you will play a vital role in transforming how we deliver strategic insights to the business. We develop and maintain data engineering pipelines that power critical business metrics, colleague performance analytics, and operational insights. These pipelines process data from a variety of source systems, clean and transform it, and apply business logic to provide actionable intelligence.
Additionally, you’ll contribute to initiatives that leverage machine learning concepts to analyze customer interactions and generate satisfaction scores. Your work will also support customer listening through Voice of Customer surveys (VOCM) and related analytics.
Our team is actively migrating from enterprise cloud data warehouses to the advanced Google Cloud-based LUMI platform. This transformation will enable us to provide Data-as-a-Service (DaaS) capabilities for enterprise-wide consumers, aligning with their needs across domains such as Servicing, Fraud, Credit, and Collections.
Key Responsibilities
- Collaborate with business stakeholders, product teams, and cross-functional technology groups to drive continuous delivery and innovation.
- Design, develop, and document robust data pipelines for broad-scale data access and integration into user-facing features.
- Build validation and monitoring processes to ensure data integrity and accuracy.
- Leverage cloud platforms, particularly Google Cloud (GCP), for scalable data engineering solutions.
- Utilize big data technologies like PySpark, Spark, Scala, Hive, and SQL for efficient data processing and transformation.
- Develop and manage APIs for seamless data access and integration with various systems.
- Implement and optimize ETL pipelines and ensure smooth CI/CD processes.
- Collaborate with data governance teams to address data definition and mapping challenges.
- Develop insightful reports using advanced tools such as Tableau and Power BI to empower decision-making.
- Support and maintain production environments, ensuring robust data solutions for business needs.
Skills and Qualifications
- Educational Background. Bachelor’s degree in Computer Science or related fields.
- Experience. Minimum of 3 years in data engineering or related domains.
- Big Data Proficiency. Hands-on experience with Hadoop, Kafka, PySpark, and Hive.
- Programming Languages. Proficiency in Python, Java, Scala, and SQL.
- Cloud Expertise. Solid knowledge of Google Cloud Platform (GCP) services like Google Cloud Storage, BigQuery, and Vertex AI.
- Database Knowledge. Experience with RDBMS (Oracle, MSSQL, PostgreSQL) and NoSQL (MongoDB, Cassandra).
- AI/ML Fundamentals. Basic understanding of machine learning frameworks like TensorFlow and PyTorch.
- Data Security Awareness. Familiarity with data privacy regulations and secure handling of Personally Identifiable Information (PII).
- Application Architecture. Knowledge of designing scalable and secure applications using modern frameworks such as React or Java.
- Reporting and Visualization Tools. Experience with Tableau, Power BI, or similar tools.
Why American Express?
We are committed to the well-being of our colleagues, offering a comprehensive range of benefits to support your physical, mental, and financial health at every stage of your career.
- Competitive base salaries and bonus incentives.
- Retirement and financial well-being support programs.
- Comprehensive medical, dental, vision, life insurance, and disability coverage.
- Flexible work arrangements tailored to business needs.
- Generous paid parental leave policies.
- Free and confidential counseling through our Healthy Minds program.
- On-site wellness centers in select locations.
- Continuous learning opportunities through career development and training programs.
Join Us and Lead the Way
At American Express, you’re not just building a career. You’re joining a team that’s transforming industries and touching lives. We are proud to be an equal-opportunity employer, fostering an inclusive environment where diversity thrives.
Take the next step in your career journey with us. Together, we’ll lead the way and redefine what’s possible.