American Express

Software Engineer II

Posted On

Aug. 13, 2025

Location

Gurgaon, Haryana

Experience Level

Freshers/Experienced

Job Type

Permanent

Apply By

Sept. 7, 2025

Job Description

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.

How will you make an impact in this role?

The Enterprise Essentials team within Financial Data Engineering is hiring Software Engineer II with experience in data engineering on Google Cloud Platform or any other major cloud platform.

The team is responsible for creating new capabilities and modernizing existing ones in critical areas like Global Tax, Finance, and GSM Conversational AI platforms, and key enterprise products such as Balancing and Control, Reconciliations, Concur, and Ariba. This role offers the opportunity to work in a dynamic environment, collaborating with cross-functional teams to build robust data pipelines and enable data-driven decisions at scale.

As an Engineer I, you will be responsible for designing robust, scalable data pipelines, enabling efficient data processing and analysis across a cloud-native environment. You’ll have the opportunity to collaborate with cross-functional teams, working on innovative solutions that leverage modern cloud technologies.

Responsibilities:

Design and implement scalable data pipelines: Build and maintain automated ETL processes that handle large volumes of structured and unstructured data, ensuring data flows smoothly between various sources and destinations in a cloud-based environment.
Data modeling and architecture: Design efficient data models and architectures to optimize storage, access, and performance, while ensuring data integrity and governance best practices are followed.
Cloud-based data engineering: Leverage cloud technologies (GCP or other cloud platforms) for managing and processing big data, utilizing tools like BigQuery, Dataflow, and Cloud Storage to deliver high-performance solutions.
Optimize data processing workflows: Continuously monitor, debug, and improve data pipelines for reliability, scalability, and speed, reducing processing time and optimizing the performance of data operations.
Collaborate with cross-functional teams: Work closely with data scientists, analysts, and software engineers to ensure smooth integration of data engineering solutions with analytics and business applications.
Ensure data security and compliance: Implement data security best practices in line with organizational and regulatory requirements, ensuring the integrity and protection of sensitive data.
Automation and innovation: Explore opportunities to automate manual processes and improve efficiency by adopting new tools and techniques, constantly pushing the boundaries of cloud-based data engineering.

Leadership Outcomes:

Put enterprise thinking first, connect the role's agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders.
Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings
Demonstrate learning agility, make decisions quickly and with the highest level of integrity
Lead with a digital mindset and deliver the world's best customer experiences every day

Minimum Qualifications:

Bachelor’s degree in computer science, Engineering, or a related field.
3 to 6 years of experience in data engineering on GCP or another cloud platform (AWS, Azure).
Strong proficiency in SQL and Python, Java, or Scala for data processing.
Experience in designing and developing ETL pipelines for large datasets.
Hands-on experience with BigQuery, Cloud Storage, Dataflow, or similar tools on GCP or other cloud platforms.
Experience with data modeling and data warehousing principles.

Preferred Qualifications:

Experience with distributed processing frameworks like Apache Spark.

Familiarity with Terraform, CloudFormation, or other infrastructure-as-code (IaC) tools.
Knowledge of Kubernetes or other containerization tools for data pipeline deployment.
Experience with CI/CD pipelines for automating data engineering workflows.
Knowledge of cloud-based security best practices in data engineering.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

Competitive base salaries
Bonus incentives
Support for financial-well-being and retirement
Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
Generous paid parental leave policies (depending on your location)
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

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