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Lead Data Engineer
Mastercard
Maharashtra, IND
Full-time
Mid-Senior
Onsite
Discovered 1 weeks ago
DatabricksSnowflakeAWSAzureData engineeringBusiness intelligence
Free
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Role Overview
Design, build, and scale cloud-based data and analytics solutions within Mastercard’s Data Commercialization Platform.
Deliver business intelligence, data engineering, and platform capabilities using Databricks, Snowflake, AWS, and Azure.
Ensure strong governance, scalability, and interoperability across multi-cloud environments.
Key Skills for This Role
DatabricksSnowflakeAWSAzureData engineeringBusiness intelligence
Full Job Posting
Role Summary
Design, build, and scale cloud-based data and analytics solutions within Mastercard’s Data Commercialization Platform.
Deliver business intelligence, data engineering, and platform capabilities using Databricks, Snowflake, AWS, and Azure.
Ensure strong governance, scalability, and interoperability across multi-cloud environments.
Architecture and 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 multi-cloud architecture implementation using AWS and Azure, including Azure Databricks and ADLS Gen2.
Platform Engineering and Integration
- Enable 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 using RBAC, service principals, and enterprise identity integration.
- Support data platform interoperability across multiple compute engines and cloud providers.
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