Mastercard
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Pune · On-site · 8-11 Yrs · Aug 13
Financial Transaction Processing · 10000+ Employees · Purchase, US
As a technology company in the global payments business our payments processing network, connects consumers, financial institutions, merchants, governments, and businesses in more than 210 countries and territories.
Hiring: Engineering
What employees say
+ Good culture and exposure along with work life balance
− Nothing particular bad as such
More reviews on the company profile.
Interview experience · Product Manager
I completed the entire interview loop for a Product Manager role at Mastercard. All technical and managerial rounds went exceptionally well, and the interviewing panel was professional and engaging. Following the final r
Average difficulty · India · 491 reports
More interview insightsJob description
Overview
Mastercard powers economies and empowers people in 200+ countries and territories worldwide.
Responsibilities
- Architecture & Development
- Design and develop cloud-native data and BI solutions using Databricks and Snowflake on AWS.
- Build scalable, high-performance data pipelines and analytics frameworks supporting enterprise data products.
- Drive implementation of multi-cloud architecture leveraging AWS and Azure (Azure Databricks, ADLS Gen2).
- Platform Engineering & Integration
- Enable seamless integration across Databricks, Snowflake, AWS services, and Azure services.
- Build and maintain CI/CD pipelines, automation frameworks, and infrastructure-as-code for data platform provisioning.
- Implement secure and governed access patterns including RBAC, service principals, and enterprise identity integration.
- Support data platform interoperability across multiple compute engines and cloud providers.
Qualifications
- 8+ years of experience in software engineering / data engineering / platform engineering
- Strong hands-on experience with:
- Databricks (AWS / Azure)
- AWS services (S3, Glue, EMR, IAM, etc.)
- Strong knowledge of distributed systems, data processing, and scalable architectures
- Proven ability to lead technical design and mentor engineers
- Knowledge of open data formats (Delta Lake, Apache Iceberg)
- Abide by Mastercard’s security policies and practices;
- Ensure the confidentiality and integrity of the information being accessed;
- Report any suspected information security violation or breach, and
- Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
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