American Express

Data Engineer

Posted On

April 4, 2025

Location

Gurugram, Haryana

Experience Level

Freshers/Experienced

Job Type

Permanent

Apply By

April 27, 2025

Job Description

You Lead the Way. We’ve 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 and let's lead the way together.

Function Description:

Data Management team within Global Servicing MIS supports end to end data lifecycle journey for our business teams. This includes platform ownership, strategy, governance, ingestions, ETL builds, Data Quality, BI & downstream data enablement in collaboration with tech organization.

Key responsibilities:

Understanding business use cases and be able to convert in to technical design
Part of a cross-disciplinary team, working closely with other data engineers, software engineers, data scientists, data managers and business partners.
You will be designing scalable, testable and maintainable data pipelines and ensuring data security and governance.
You will continuously monitor, troubleshoot, and improve data pipelines and workflows to ensure optimal performance and cost-effectiveness.
Reviewing architecture and design on various aspects like scalability, security, design patterns, user experience, non-functional requirements and ensure that all relevant best practices are followed.

Key Skills required :

2-4 years of experience in data engineering roles.
Big data and Hadoop experience, with a focus on Spark, Hive (or other query engines), big data storage formats (such as Parquet, ORC, Avro).
Cloud experience (GCP preferred) with solutions designed and implemented at production scale
Strong understanding of key GCP services, especially those related to data processing [Batch/Real Time] Big Query, Cloud Scheduler, Airflow, Postgres, Data Flow, Pub/Sub, Cloud Logging and Cloud Monitoring
Hands-on experience with Git, advanced automation capabilities & shell scripting.
Experience in design, development and implementation of data pipelines using Data Warehousing applications
Hands on experience in performance tuning and debugging ETL jobs

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

Competitive base salaries
Bonus incentives
Support for financial-well-being and retirement.
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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