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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.

Functional Description:

As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers’ digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology on #TeamAmex.

Roles & Responsibilities:

If you have a strong will to learn and educate and are motivated by the opportunity to help grow our team and be a part of an industry-leading technology and innovation organization, then look no further! This is an opportunity to work in the Technology Enterprise Data Architecture while heavily influencing the Enterprise Machine Learning Platform and Enterprise Big Data Platform to support the end-to-end development and execution of Amex's data management strategy. You will be solving very interesting problems that directly and greatly impact millions of individuals worldwide. There are hundreds of opportunities to make your mark on technology and life at American Express.

This role will be reporting to Staff Engineer and will be responsible for following

• design and architect end to end solution which is scalable, reliable as well as cost effective.

• for a given business problem, explore all possible options and recommend best solution under given constraints

• perform POC's, build frameworks and reusable libraries to help developers resolve business problems

• build tools and frameworks to improve developer experience

• evaluate different third party tools and provide recommendations

• be a SME of Data Management and Data Privacy Concepts

Minimum Qualifications:

• Bachelor’s Degree in Computer Science, Computer Engineering, EE, EEE, Statistics, Math, Industrial Engineering, Operational Research, Physics, Financial Engineering, or related STEM fields. Advanced degree preferred.

• 6 years of experience of technology platform implementation in a technical and analytical role

• 4 years of building both traditional and cloud native applications and big data platforms in support of digital transformation.

• 4 years of hands on experience in Java, Python, Springboot, graphQL, Rest API, Microservices, etc.

• 4 years of experience in Industry 4.0 initiatives and/or other aspects of corporate data management; e.g. Data Governance, Data Security, Data Privacy and Data Lifecycle Management

• 4 years of experience in designing solutions for multiple large data warehouses with a good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS and/or knowledge on NoSQL platforms (e.g. PostgreSQL, Redshift, BigQuery, Snowflake, DynamoDB, Neo4J, MongoDB, Cassandra, HBase, etc)

Preferred Qualifications:

• Experience with following message queuing, stream processing, and highly scalable ‘big data’ tools and technologies is a plus:

• Amazon Kinesis / GCP PubSub

• Apache Flink

• Apache Kafka

• Apache Kylin

• Apache NiFi

• Apache Samza

• Apache Spark

• Apache Storm

• Hadoop

• Hive

• Zeppelin/ Jupyter

• Hands on experience working on data management tools like Collibra, Alation, Atlan, Orion, Manta, etc. is a plus

• Experience supporting and working with cross-functional teams in a dynamic environment

• Strong analytical skills and algorithmic problem-solving skills.

• Knowledge of / experience with Gen AI technology is a plus

Qualifications

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

• 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.

Job: Technologies

Primary Location: India-Haryana-Gurgaon

Schedule Full-time

Req ID: 24004937