Data Engineer II: AI-Ready Data Pipelines & Analytics
Summary
Builds and maintains ETL/ELT pipelines and data warehouses for analytics, integrating enterprise systems like SAP HANA and Snowflake to support AI-ready data workflows.
Mastercard is hiring for a data engineering role focusing on ETL/ELT, data movement, and analytics. The candidate will contribute to data warehousing, reporting, and BI capabilities, while building full stack data solutions and enterprise integrations.
The role involves supporting AI-ready data pipelines, working with SAP HANA and Snowflake environments, and collaborating with architects, data engineers, and business stakeholders in a data-driven, agile setting.