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American Express
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Data Engineer II

Data Engineer II

American Express

175 years

0 Lacs

Chennai Tamil Nadu India

Posted:1 day ago| Platform:

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Skills Required

data leadership support processing cornerstone gcp agile design test software engineering integration reporting migration java python storage query apache airflow monitoring efficiency resolve documentation architecture pipeline reliability scalability dataflow developer scripting sql oracle mysql nosql git development unix devops networking flexibility vision model training verification

Work Mode

On-site

Job Type

Full Time

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.

Purpose of the Role:

LUMI is company’s largest Big Data Platform, ideally suited for computationally and/or data intensive processing applications. Whether the data needs to be processed in batch, online, or streaming manner, Lumi provides robust capabilities to handle such workloads effectively, in a cost-efficient manner.
A hub of very hardworking Big Data engineers and most exciting & upcoming technologies. Cornerstone platform offers an environment where Engineers are challenged every day to build world class products.
As we embark on the journey to move to public cloud - GCP you will be part of a fast-paced Agile team, design, develop, test, troubleshoot & optimize solutions created to simplify access to the Amex’s Big Data Platform.

Focus:

Designs, develops, solves problems, debugs, evaluates, modifies, deploys, and documents software and systems that meet the needs of customer-facing applications, business applications, and/or internal end user applications.

Organizational Context:

Member of an engineering or delivery and integration team reporting to an engineer manager or Engineering Director

Responsibilities:

Implemented enterprise grade robust data migration solutions using Java and Python, facilitating seamless data
transfer from on-premises environments to GCP (including Cloud Storage and Big Query), leveraging Apache Airflow
and Google Cloud Composer.
Build secured, and optimized data architectures on GCP by integrating services such as Cloud Storage, Pub/Sub, Dataproc.
Implement automated solutions for data delivery, monitoring, and troubleshooting.
Monitor system performance and proactively optimize data pipelines for efficiency
Troubleshoot and resolve issue.
Create and maintain comprehensive documentation for tools, architecture, processes, and solutions.
Data Pipeline Development:
Build, test, and deploy data pipelines to move, transform, and process data from various sources to GCP
Ensure the reliability, scalability, and performance of data pipelines.
Utilize GCP's big data technologies such as Big Query, Dataflow, Dataprep, and Pub/Sub to implement effective data processing solutions

Minimum Qualifications

Overall, 3 - 5 years of developer experience .
Proficiency in Java , Python, and shell scripting.
Strong SQL knowledge
Proficiency in Google Cloud Platform services especially Cloud Storage, Big query, Dataproc and Pub/Sub.
Proficiency in RDBMS like Oracle, Postgres or MySQL and good exposure in at least one NoSQL DB like Cassandra.
Expertise in Git & CICD processes.
Experience of working in agile application development environment
Technical support to applications on trouble shooting Environment, software and application-level issues Write, test programs using Unix Shell scripting.

Preferred Qualifications

Hands on or exposure to DevOps best practices and implementation.
Hands-on or exposure to platform engineering including networking and firewall.
Hands-on or exposure to GenAI integrations including LLMs and RAG.

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