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8.0 - 12.0 years
0 Lacs
chennai, tamil nadu
On-site
In this role at American Express, as a Senior Data Engineer on the Infrastructure Data & Analytics team, you will play a crucial part in unifying FinOps, Data Science, and Business Intelligence to enhance Technology cost transparency, optimize infrastructure performance, and improve commercial efficiency through high-quality data and predictive analytics. Your responsibility will be to lead the design, development, and enhancement of the data model and architecture, ensuring data quality meets the highest standards for users. Key Responsibilities: - **Data Architecture**: Perform technical aspects of data architecture and database management, develop data pipelines, new database structures, ...
Posted 1 month ago
10.0 - 12.0 years
0 Lacs
chennai, tamil nadu, india
On-site
Job Description At American Express, our culture is built on a 175-year history of innovation, shared and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. 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. 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 w...
Posted 1 month ago
10.0 - 15.0 years
35 - 50 Lacs
chennai
Hybrid
The role will require a unique blend of strong data ops technical and leadership skills to translate business decisions into data requirements. This individual will build a deep understanding of the infrastructure data we use in order to work across the ID&A team and key stakeholders the appropriate data to tell a data story. This includes designing and implementing a data architecture that follows enterprise architecture and data management best practices for ensuring data ingestion, transformation, storage and analytics are handled according to their specific purpose using the appropriate tools: ingestion captures raw data without applying business logic, transformation processes data disc...
Posted Date not available
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