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American Express
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Data Engineer II

Data Engineer II

American Express

175 years

0 Lacs

Gurgaon Haryana India

Posted:19 hours ago| Platform:

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Skills Required

data leadership support java multithreading processing apache airflow tuning communication collaboration drive technology metrics portfolio efficiency risk management security engineering deployment agile software devops kafka finance flexibility vision model development training verification

Work Mode

On-site

Job Type

Temporary

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?

Expertise with handling large volumes of data coming from many different disparate systems
Expertise with Core Java , multithreading , backend processing , transforming large data volumes
Working knowledge of Apache Flink , Apache Airflow , Apache Beam, open source data processing platforms
Working knowledge of cloud platforms like GCP.
Working knowledge of databases and performance tuning for complex big data scenarios - Singlestore DB and In Memory Processing
Cloud Deployments , CI/CD and Platform Resiliency
Good experience with Mvel
Excellent communication skills , collaboration mindset and ability to work through unknowns
Work with key stakeholders to drive data solutions that align to strategic roadmaps, prioritized initiatives and strategic Technology directions.
Own accountability for all quality aspects and metrics of product portfolio, including system performance, platform availability, operational efficiency, risk management, information security, data management and cost effectiveness.

Minimum Qualifications:

Bachelor’s degree in computer science, Computer Science Engineering, or related field is required.
3+ years of large-scale technology engineering and formal management in a complex environment
and/or comparable experience.
To be successful in this role you will need to be good in Java, Flink, SQ, KafkaL & GCP
Successful engineering and deployment of enterprise-grade technology products in an Agile environment.
Large scale software product engineering experience with contemporary tools and delivery methods (i.e. DevOps, CD/CI, Agile, etc.).
3+ years' experience in a hands-on engineering in Java and data/distributed eco-system.
Ability to see the big picture with attention given to critical details.

Preferred Qualifications:

Knowledge on Kafka, Spark
Finance domain knowledge

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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Data Engineer II