Data Engineer III at American Express Malaysia Sdn Bhd

, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

02 Jul, 26

Salary

0.0

Posted On

03 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, DataOps, ETL/ELT, API development, Stream processing, AI/ML, GenAI, BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Composer, Data quality monitoring, Data visualization, Logical data modeling

Industry

Financial Services

Description

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Join Team Amex and let’s lead the way together! The position of Engineer will be on a dynamic and growing team within the Digital Data Platform team part of Architecture As Code organization at American Express. 5-8 years of DataOps engineering experience in implementing pipeline orchestration, data quality monitoring, governance, security processes, and self-service data access Programming Languages: Strong proficiency in Python and SQL for data processing and manipulation. ETL/ELT: Experience with ETL/ELT processes and data warehousing concepts Proficiency in API development and stream processing frameworks Working proficiency in AI/ML and familiarity GenAI & Agent AI. GCP Expertise: Hands-on experience with GCP services like BigQuery, Dataflow, Cloud Storage, Pub/Sub and Cloud Composer. Testing and Troubleshooting: Ability to test, troubleshoot, and debug data processes Strong analytical skills with a proven ability to understand and document business data requirements in complete, accurate, extensible, and flexible logical data models, data visualization tools (e.g. PowerBI, Apptio BI) Ability to write efficient SQL queries to extract and manipulate data from relational databases, data warehouses and batch processing systems Experience in data quality and QA testing methodologies Fluent in data risk, management, and compliance terminology and best practices Proven track record for managing large, complex ecosystems with multiple stakeholders Self-starter who is able to problem-solve effectively, organize and document processes, and prioritize feature with limited guidance An enterprise mindset that connects the dots across various requirements and the broader operations/infrastructure data architecture landscape Excellent collaboration skills; ability to drive consensus and tangible outcomes, demonstrated by breaking down silos and fostering cross-team communication Understanding of complex software delivery including build, test, deployment, and operations; conversant in Data Science, and Business Intelligence concepts and technology stack Exposure to distributed (multi-tiered) systems, algorithms, IT asset management, cloud services, and relational databases Foundational Public Cloud (AWS, Google, Microsoft) certification; advanced Public Cloud certifications a plus Experience working in technology business management, technology infrastructure or data visualization teams a plus Experience with design and coding across multiple platforms and languages a plus Minimum Qualifications Bachelor’s degree in computer science, computer science engineering, data engineering, or related field required. Preferred Qualifications Advanced degree preferred: Master degree in computer science, computer science engineering, data engineering, or related field required. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: 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.

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Responsibilities

The role involves implementing pipeline orchestration, data quality monitoring, and governance processes within the Digital Data Platform team. You will be responsible for designing and maintaining scalable data architectures while collaborating across teams to drive consensus and tangible outcomes.