Senior Data Engineer II

You Lead the Way. We ve Got Your Back.

At American Express, you ll be recognized for your contributions, leadership, and impact every colleague has the opportunity to share in the company s success. Together, we ll win as a team, striving to uphold our company values and powerful backing promise to provide the world s best customer experience every day. And we ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and lets lead the way together.

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. Amex 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 on #TeamAmex

How will you make an impact in this role?
The successful candidate for this role will be responsible for developing and implementing cutting-edge data and AI solutions supporting data platform, analytics and reporting needs of the portfolio. You will collaborate with cross-functional teams to design, develop, and deploy highly scalable and fault tolerant data intensive AI applications that drive innovation and enhance efficiency in customer servicing space. We are seeking a highly skilled and experienced Senior Data Engineer with expertise in GCP, Data platforms, Big Data, Python and advanced analytics to join our team.

Responsibilities:

• Serve as a technology leader to multiple agile teams building data solutions
• Provide thought leadership, engineering expertise and direction to the engineering teams; be versatile and be able to collaborate with business stakeholders, product teams and cross functional technology groups to drive continuous delivery
• Data Process Design and Coding: Design, code, and document data processes for broad-scale data access.
• Maintain Data Integrity: Develop validation and monitoring processes for data compilations.
• Efficient Data Source Development: Collaborate with teams to design resilient data sources for business needs.
• Data Integration into Products: Incorporate data sources into user-facing features.
• Cloud Technology Utilization: Leverage cloud platforms for data engineering solutions.
• Utilize Big Data Technologies: Employ technologies like PySpark and Spark for data processing.
• ETL and Data Pipeline Development: Proficient in ETL (Extract, Transform, Load) processes, tools, and developing data pipelines.
• CI/CD Implementation: Implement and manage Continuous Integration and Continuous Deployment (CI/CD) processes.
• Genesys Application Knowledge: Work with Genesys databases
• Data Governance Collaboration: Work with governance teams on data definition and mapping issues.
• Banking Data Expertise: Utilize knowledge of banking data for relevant data engineering tasks.
• Reporting Tools Expertise: Develop reports using various reporting tools.
• Apply Development Best Practices: Implement best practices in code review and change management, including proficient use of GIT for version control.
• Working in Agile Environments: Experience with Agile methodologies and practices.
• Problem-Solving and Troubleshooting: Strong analytical skills to solve problems and troubleshoot issues.
• Work closely with product managers and stakeholders to understand business requirements and translate them into technical solutions.
• Conduct code reviews and provide technical guidance and mentorship to junior team members.
• Participate in cross-functional team meetings, brainstorming sessions, and knowledge sharing activities to foster innovation and continuous improvement.

Qualifications & Skills:

• Engineering Degree with 8+ years of experience
• Proficient in SQL and Unix Shell Scripting: Skilled in SQL and Unix shell scripting.
• Proficient in Programming Languages: Proficiency in programming languages such as Python.
• Big Data Platform Proficiency: Skilled in working with Big Data platforms and Big Data lakes, Big Queries
• Cloud Knowledge: Proficient in cloud computing technologies.
• ETL and Data Pipeline Skills: Proficient in ETL (Extract, Transform, Load) processes and tools and data modelling.
• Basic AI/ML Skills: Fundamental understanding of AI/ML applications in data engineering.
• Banking Data Knowledge: Familiarity with banking data structures and requirements.
• Ability to create scalable, reliable, and efficient solutions that meet business requirements.
• Genesys Application and Database Knowledge: Experience with Genesys applications and understanding of the data aspects of Genesys databases.
• Data Security and PII Awareness: Knowledge of data security practices and regulations, focusing on securely handling Personally Identifiable Information (PII).
• Application Design with Security Focus: Experience in designing applications with emphasis on server procurement, installation, and integrating security aspects like encryption.
• Application Architecture Knowledge: Expertise in designing and structuring applications.
• Debugging Proficiency: Skilled in identifying and resolving software and system issues.
• Testing and Troubleshooting: Ability to test, troubleshoot, and debug data processes.
• American Express Experience Preferred: Prior experience with American Express systems is an advantage.
• Effective Communication: Excellent verbal and written communication skills.
• Collaborative Work Ethic: Ability to work effectively in team environments.
• Continuous Learning: Commitment to staying updated with industry trends.
• Leadership and communication: lead teams and collaborate with stakeholders, so strong leadership and communication skills are essential.
• Ability to effectively communicate technical concepts to both technical and non-technical audiences.
• Should have excellent problem-solving and analytical skills.

Benefits include:

• 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