Senior Engineer - Big Data Platforms - Cornerstone Big Data

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.
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
The U.S. Consumer Services and Enterprise Digital & Data Technology Team brings together foundational strategic technology capabilities in digital experience engineering (Mobile and Web), AI/ML, marketing technology, enterprise communications, travel and lifestyle, and automation, grounded in our data technology model that prioritizes data governance. It employs a ground-breaking focus with development responsibilities for customer-facing capabilities that deepen and expand digital engagement, as well as core technical capabilities that cut across business lines and customer segments.

How will you make an impact in this role?
The American Express Big Data team is responsible for building and managing state of the art big data platforms, supporting data ingestion and transformation at peta-byte scale.
Role Description/Requirements
Hands-on engineer with expertise in developing complex, large-scale enterprise BigData applications ensuring data quality meeting compliance & governance requirements to meet enterprise grade standards
Expertise in optimizing BigData applications for performance betterment and resource utilization
Expertise in designing and implementing auto-heal pipeline for system issues
Expertise in Java, Springboot
Hands on expertise in GCP, Pub-sub, Composer, Airflow, Big Query
Hands on expertise working with Hybrid eco-system that combines cloud and on-prem infrastructure supporting migration
Hands on working with cross-functional teams to deliver on system design and development for the needed requirements supporting various business units
Experience with high level enterprise strategy and blueprints and convert into system deliverables
Hands on expertise in RDBMS viz Postgres, MySQL
Responsible for technical aspects of software engineering for assigned applications including design, developing prototypes, and coding assignments
Partners with customers and other internal teams and technical product managers to deliver improvements to the platform
Establish and accepts responsibility for engineering practices across teams for example the peer code review, build and release process and the effectiveness of the retrospective.
Experience writing software in Python, Java or similar.
Expertise in pre-processing and cleaning large datasets for training models.
Familiarity with data augmentation techniques to enhance model performance.
Experience in deploying language models in production environments and integrating them into applications, platforms, or services.
Exposure in building Predictive models using machine learning through all phases of development, from design through training, evaluation, validation, and implementation.
Review architecture and provide technical guidance for engineers.
Hands on experience with Big Data technologies (Spark, Kafka, Hive, etc.) and have at least 1 Big data implementation on platforms like Cornerstone,
Exposure in building cloud-native platforms on modern tech stack: AWS, Java, Spring Framework, RESTful API, and container-based application.
Ability to learn new tools and paradigms in data engineering and science.
Proven experience attracting, hiring, retaining, and leading top engineering talent.
Bachelor's degree with a preference for Computer Science

Technology Core Competencies
Hands-on engineer with expertise in Java, Python, Springboot,
Hands on expertise in GCP, Pub-sub, Composer, Airflow, Big Query
Hands on expertise in RDBMS viz Postgres, MySQL
Experience in streaming technologies such as Kafka, Spark Streaming, Pub-Sub
High-performing Behaviors Be a productivity multiplier across multiple teams by  analyzing the work flow and contributing to enable the team to be more effective, productive, and demonstrating faster and stronger results
Enterprise thinking - find opportunities to educate and learn from other groups, including mobile & web engineering teams
Solves technical problems outside of day-to-day responsibilities
Develop team's strategy and prioritize technology initiatives
Ensure frictionless CI/CD pipeline from the teams
Able to effectively communicate the concerns and capacity of the team to partners
Introduces new and impactful technologies based on research, POC efforts and independent research

Minimum Qualifications
Core Competencies
Hands-on engineer with expertise in Java, Springboot, Microservices
Hands on expertise in GCP, Pub-sub, Composer, Airflow, Big Query
Hands on expertise in RDBMS viz Postgres, MySQL, Oracle
Experience in streaming technologies such as Kafka, Spark Streaming, Pub-Sub
Enterprise thinking - find opportunities to educate and learn from other groups, including mobile & web engineering teams
Solves technical problems outside of day-to-day responsibilities
Ensure frictionless CI/CD pipeline from the teams
Able to effectively communicate the concerns and capacity of the team to partners
Introduces new and impactful technologies based on research, POC efforts and independent research

Preferred Qualifications
Bachelor's degree in computer science, Engineering, Information Systems, or a related STEM field
10+ years of experience.

Salary Range: $110,000.00 to $190,000.00 annually + bonus + benefits
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.
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 
6% Company Match on retirement savings plan 
Free financial coaching and financial well-being support 
Comprehensive medical, dental, vision, life insurance, and disability benefits 
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need 
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy 
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

For a full list of Team Amex benefits, visit ourColleague Benefits Site.
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.
We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
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