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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. American Express 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 of #TeamAmex.

Purpose of the Role:
Cornerstone 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, Cornerstone 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, fix & 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.

How will you make an impact in this role?
Software Development

• Function as member of an agile team by contributing to software builds through consistent development practices (tools, common components, and documentation)you'll guide different teams on how to ingest, store, process, analyze, and explore/visualize data on the our Cloud Platform
• You will work on data migrations and transformational projects, and with internal partners to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform challenges
• Act as a trusted technical advisor to usecase teams and solve complex Big Data challenges
• Create and deliver standard methodologies recommendations, tutorials, blog articles, sample code to different levels of key business and technical collaborators
• Architect, design, develop and maintain enterprise capabilities and systems Debug basic software components and identify code defects for remediation
• Enable the deployment, support, and monitoring of software across test, integration, and production environments
• Automate deployments in test or production environments
• Collaborate with team/s in agile environment on creating, evolving, and maintaining engineering excellence principles related to Code, Code reviews, Testing methodologies (Unit, Integration etc.,) and defect management
• Developing prototypes using visualization and other techniques to fast-track concepts.
• Seeks continuous improvement by considering solutions that make novel use of existing ideas, approaches, technologies, or products.
• Works with other Senior engineers and product owners to deliver new features and enhance existing features.

Leadership
· Demonstrate increased self-reliance to achieve team goals
· Influence team members with creative changes and improvements by challenging status quo and demonstrating risk taking

Range of Impact/Influence:
· Accountable for team completing work you’re leading and work you are doing as agreed upon
· Accountable to team for delivery of quality work

Qualifications

• Bachelor's degree in Computer Science, Mathematics, related technical field, or equivalent practical experience
• Experience with data processing software (e.g., Spark, Hadoop, Pig, Hive) and algorithms (e.g., MapReduce, Flume)
• Experience coding in at least one or more languages: Java, C++, Python, Go, JavaScript
• experience implementing and scaling effective, reliable, secure infrastructure and systems to support large-scale data initiatives, primarily in the AWS or GCP ecosystem
• REST API design and implementation experience
• Good understanding of NoSQL technologies such as HBase, Cassandra, Redis, Memcached etc
• Ability to effectively interpret technical and business objectives and challenges and articulate solutions
• Strong analytical skills and programming skills, in production environment
• Good to have Google Cloud Platform Skills: Big Query ,Airflow ,Terraform, DBT

Responsibilities

• Contributes to defining architecture, solution design, development, solving debugging, evaluating, modifying, deploying and documenting software and systems
• Function as core member and lead an agile team by contributing to software builds through consistent development practices (tools, common components, and documentation)
• you'll guide different teams on how to ingest, store, process, analyze, and explore/visualize data on the our Cloud Platform
• You will work on data migrations and transformational projects, and with internal partners to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform challenges
• Act as a trusted technical advisor to usecase teams and solve complex Big Data challenges
• Create and deliver standard methodologies recommendations, tutorials, blog articles, sample code to different levels of key business and technical partners

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.

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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