Mumbai, Maharashtra, India
Information Technology
Full-Time
American Express
Overview
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 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 let's lead the way together.
Function Description:
Data Management team within Global Servicing MIS supports end to end data lifecycle journey for our business teams. This includes platform ownership, strategy, governance, ingestions, ETL builds, Data Quality, BI & downstream data enablement in collaboration with tech organization.
Key responsibilities:
- Understanding business use cases and be able to convert to technical design
- Part of a cross-disciplinary team, working closely with other data engineers, software engineers, data scientists, data managers and business partners.
- You will be designing scalable, testable and maintainable data pipelines
- Identify areas for data governance improvements and help to resolve data quality problems through the appropriate choice of error detection and correction, process control and improvement, or process design changes
- Developing metrics to measure effectiveness and drive adoption of Data Governance policies and standards that will be applied to mitigate identified risks across the data lifecycle (e.g., capture / production, aggregation / processing, reporting / consumption).
- You will continuously monitor, troubleshoot, and improve data pipelines and workflows to ensure optimal performance and cost-effectiveness.
- Reviewing architecture and design on various aspects like scalability, security, design patterns, user experience, non-functional requirements and ensure that all relevant best practices are followed.
Key Skills required :
- 2-4 years of experience in data engineering roles.
- Advanced SQL skills with a focus on optimisation techniques
- Big data and Hadoop experience, with a focus on Spark, Hive (or other query engines), big data storage formats (such as Parquet, ORC, Avro).
- Cloud experience (GCP preferred) with solutions designed and implemented at production scale
- Strong understanding of key GCP services, especially those related to data processing [Batch/Real Time] Big Query, Cloud Scheduler, Airflow, Cloud Logging and Monitoring
- Hands-on experience with Git, advanced automation capabilities & shell scripting.
- Experience in design, development and implementation of data pipelines for Data Warehousing applications
- Hands on experience in performance tuning and debugging ETL jobs
- 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
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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