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Job description
We are looking for a Lead Data Engineer to design, build, and scale cloud-based data and analytics solutions within Mastercard’s Data Commercialization Platform (DCP). This role focuses on delivering Business Intelligence (BI), data engineering, and platform capabilities using Databricks, Snowflake, AWS, and Azure.
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.
The ideal candidate will combine hands-on engineering expertise and have experience building cloud-based data platforms or BI/analytics solutions.
Company
Finance • Tech, Software & IT Services
Mastercard is a global payments technology company that enables secure, simple, and smart digital transactions in more than 200 countries. The company offers a broad portfolio of services— including global commerce, mobile payment solutions, and payment processing— to consumers, merchants, and governments. By combining advanced technology, robust networks, and strategic partnerships, Mastercard delivers innovative products that help businesses grow and communities prosper. Its focus on sustainability and inclusive access distinguishes it as a leader in building a future‑ready economy.
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