Job
Description
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. We are building an energetic, high-performance team with a nimble and creative mindset to drive our technology and products. American Express (AXP) is a powerful brand, a great place to work and has unparalleled scale. Join us for an exciting opportunity in the Marketing Technology within American Express Technologies. How will you make an impact in this role There are hundreds of opportunities to make your mark on technology and life at American Express. Heres just some of what youll be doing: As a part of our team, you will be developing innovative, high quality, and robust operational engineering capabilities. Develop software in our technology stack which is constantly evolving but currently includes Big data, Spark, Python, Scala, GCP, Adobe Suit ( like Customer Journey Analytics ). Work with Business partners and stakeholders to understand functional requirements, architecture dependencies, and business capability roadmaps. Create technical solution designs to meet business requirements. Define best practices to be followed by team. Taking your place as a core member of an Agile team driving the latest development practices Identify and drive reengineering opportunities, and opportunities for adopting new technologies and methods. Suggest and recommend solution architecture to resolve business problems. Perform peer code review and participate in technical discussions with the team on the best solutions possible. 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. Minimum Qualifications: BS or MS degree in computer science, computer engineering, or other technical discipline, or equivalent work experience. 5+ years of hands-on software development experience with Big Data Analytics solutions Hadoop Hive, Spark, Scala, Hive, Python, shell scripting, GCP Cloud Big query, Big Table, Airflow. Working knowledge of Adobe suit like Adobe Experience Platform, Adobe Customer Journey Analytics, CDP. Proficiency in SQL and database systems, with experience in designing and optimizing data models for performance and scalability. Design and development experience with Kafka, Real time ETL pipeline, API is desirable. Experience in designing, developing, and optimizing data pipelines for large-scale data processing, transformation, and analysis using Big Data and GCP technologies. Certifications in cloud platform (GCP Professional Data Engineer) is a plus. Understanding of distributed (multi-tiered) systems, data structures, algorithms Design Patterns. Strong Object-Oriented Programming skills and design patterns. Experience with CICD pipelines, Automated test frameworks, and source code management tools (XLR, Jenkins, Git, Maven). Good knowledge and experience with configuration management tools like GitHub Ability to analyze complex data engineering problems, propose effective solutions, and implement them effectively. Looks proactively beyond the obvious for continuous improvement opportunities. Communicates effectively with product and cross functional team.
