American Express

Data engineering Analytics

Posted On

Feb. 23, 2026

Location

Gurugram, Haryana

Experience Level

Freshers/Experienced

Job Type

Permanent

Apply By

March 22, 2026

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. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

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

Function Description:

XM Discover helps unlock insights across the entire Customer Listening posts for GSG and non-GSG processes using call and chat transcripts, and survey comments from our customers. Our team is responsible to sends and receive this data from XM Discover. This process includes design and programming of the data pipeline which consist of various use cases.

The Analyst-Data Analytics will support the transformation and innovation of the end-to-end Voice of Customer data pipeline process. The responsibilities include - development and maintenance of programs that share all text data, along with additional data sourced from Cornerstone to maximize XM discover capabilities and integration with the dashboard hosted by XM Discover. This person will work closely with product and process owners, subject matter experts from Qualtrics/XM Discover and the agile team in Technologies.

Responsibilities:

· Individuals would work closely with the application teams to define, frame and capture business needs.

· Developing understanding of Voice of the Customer data pipeline processes and leveraging the same to define and transform the data in the Cornerstone Big Data Platform.

· Design and build robust data model architecture to support optimal data processing and standardized metric definitions.

· Enable Big Data and batch/ real-time analytical solutions leveraging transformational technologies (Hadoop, HDFS, MapReduce, Hive, Spark and Python) to deliver innovative solutions ensuring data quality and accuracy through intensive testing at variable and use case level.

· Provide recommendations to enhance capabilities to drive efficiency in computing applications using Big Data ecosystem.

· Drive user story analysis & elaboration, design and development of software applications, testing & builds automation tools.

· Proactively identify and automate manual tasks to improve quality and efficiency.

· Role involves working closely with partners from Qualtrics/XM Discover and AET to prioritize, define, develop and test the data for various use cases as part of the VOC end to end process.

Experience

· 4+ years of IT Experience in the field of Data Engineering/Big data/ GCP platform

Academic Background

Bachelor’s Degree in computer science, computer engineering, or related field required; advanced degree preferred.

Functional:

Hands-on development, deployment/release management and troubleshooting expertise for Data driven projects for a span of not less than 3+ years.

This should involve active collaboration with the Business Analysts/Relationship Managers/Product Owners for understanding the functional requirements and converting them into Technical Deliverables.

The ideal candidate should be familiar with the Agile Methodologies of Delivery wherein small increments of a product are delivered at regular intervals to the Business.

Technical/Platforms

· Hive/Hadoop

· Pyspark/ Python

· GCP programming

· Shell Scripting

· Agile Tools like Rally/Jira

Shift – 1-10 PM

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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