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Senior Engineer II

4 months ago


Bengaluru, India American Express Full time
You Lead the Way. We’ve Got Your Back.
With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.
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 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 let's 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 work with the Servicing Data Transformation & Insights team supporting data platform, big data ecosystem, data analytics and reporting needs of the portfolio. The chosen candidate will be exposed to a wide range of technologies and challenges.
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.
API Design and Management: Develop and maintain APIs for data access and manipulation.
Data Center Process Optimization: Optimize data processes across data centers.
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.
Production Support Coordination: Coordinate and support data engineering solutions in a production environment
Familiarity with Kafka: Experience with Kafka for real-time data processing and streaming.
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.
Qualifications & Skills
Degree in Computer Science with 8+ years of experience
Proficient in Programming Languages: Proficiency in programming languages such as Python, Java, Scala, and others.
Proficient in SQL and Unix Shell Scripting: Skilled in SQL and Unix shell scripting.
Big Data Platform Proficiency: Skilled in working with Big Data platforms and Big Data lakes.
Cloud Knowledge: Proficient in cloud computing technologies, specifically GCP.
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.
Experience with BI tools like PowerBI/Qlik/Tableau/Sisense etc
Genesys Application and Database Knowledge: Experience with Genesys applications and understanding of the data aspects of Genesys databases will be a value add
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.
Docker and Kubernetes Proficiency: Proficient with containerization and orchestration using Docker and Kubernetes.
SFT Proficiency: Skilled in Secure File Transfer (SFT) operations and its utilization in data management. ·
Effective Communication: Excellent verbal and written communication skills.
Collaborative Work Ethic: Ability to work effectively in team environments.
We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. 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
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.