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American Express
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180 American Express Jobs
Senior Data Architect
American Express
posted 1 day ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
How will you make an impact in this role?
GTLS MIS & Analytics (within GS MIS) team provides analytical and reporting support to T&LS stakeholders in US and 22 international markets. The candidate will be part of Enablement team in GTLS MIS & Analytics team. The main objective is to provide support for automation and platform enablement, manage platform and data governance, 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
Employment Type: Full Time, Permanent
Read full job description
What people at American Express are saying
Data Architect salary at American Express
reported by
9
employees
with 3-9
years exp.
₹17.3
L/yr - ₹21
L/yr
39%
less
than the average Data Architect Salary in India
View more details
What American Express employees are saying about work life
based on 3.4k employees
Flexible timing
Monday to Friday
No travel
Day Shift
American Express Benefits
Submitted by Company
Culture Total Rewards & Well-Being Career Growth & Development
Submitted by Employees
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