Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly redefining what’s possible — and we’re proud to back each other every step of the way. When you join #TeamAmex, you become part of a diverse community of over 60,000 colleagues, all with a common goal to deliver an exceptional customer experience every day. 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.
Be part of the exciting transformation world and join a team of creative, curious and passionate professionals whose mission is to become the future of American Express by staying on the cutting edge and bringing innovation to life! The Campaign Execution Platforms team leads the technology strategy and engineering delivery of marketing campaigns.
This position works closely with Enterprise Digital & Analytics Product teams to craft, develop and support critical components and platforms for the majority of American Express products and services. Director will manage a global team (US and India) supporting the Big Data capabilities and enterprise user community. These capabilities consist of a Data Ingestion Suite providing complete, robust, enterprise-grade framework for the ingestion of data from a variety of internal and external data sources into Big Data, including SORs and derived data. Data Transformation Engineering is enabled via an interactive tool allowing business users to self-manage policies and processes while leveraging the Big Data content.
Key functions of the team include:
We are looking for a dynamic, innovative, action-and-results oriented leader to lead this fast-evolving eco system.
The ideal candidate is required to be accomplished in the development and deployment of complex software solutions, with a strong focus on, Big Data (Hadoop/MapR) engineering, various Java technologies including Spring, API design and user experience. The candidate should be able to come up with innovative solutions, have a pragmatic approach to application architecture, and be excited to work on a varied tech stack. You will be expected to have a deep understanding of the functional platforms, plan, manage, and execute the tech advancement roadmap. You are required to have a futuristic mindset, ability to question status quo and technologically advance the platforms.
This is an opportunity to work in a fast-paced, Scaled Agile environment and work with a team of engineers, product owners and several technology stakeholders. You should be familiar with modern software development methodologies and be able to dive deep and rapidly iterate on ideas despite ambiguity.
Job Responsibilities:
At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day.
Bangalore, Karnataka, India
2-4 year
Gurgaon, Haryana, India
2-4 year
New York, NY, USA
2-4 year
New York, NY, USA
2-4 year
Phoenix, AZ, USA
2-4 year
Sunrise, FL, USA
2-4 year
New York, NY, USA
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Gurgaon, Haryana, India
4-6 year
New York, NY, USA
0-2 year
New York, NY, USA
0-2 year
Sunrise, FL, USA
4-6 year
Phoenix, AZ, USA
6-8 year
New York, NY, USA
6-8 year
New York, NY, USA
6-8 year
New York, NY, USA
0-2 year