Lead Data Engineer

About the role

Mastercard is seeking a Lead Data Engineer to own testing of high‑performance data pipelines that feed the Mastercard Data Warehouse. You will work closely with engineers and business users to ensure data quality, reliability, and scalability across a global payments network.

Key responsibilities

• Test data pipelines using automated frameworks and perform detailed data analysis.
• Follow Mastercard Quality Assurance and Quality Control processes.
• Apply new technologies to handle increasingly large data sets.
• Collaborate with project teams to meet deadlines, identify emerging issues, and recommend solutions.
• Independently resolve production incidents and contribute ideas to improve standards and process efficiency.

Required profile

• 10‑12 years of development and testing experience on Data Warehouse projects.
• Expertise in ETL testing for end‑to‑end DW projects in a Big Data environment using Spark.
• Proficiency in Java, Python, or Unix scripting for building test automation frameworks.
• Strong SQL knowledge and experience with Oracle and Netezza databases.
• Experience with NiFi is a plus.
• Worked in Agile teams with strong analytical and defect‑management skills.
• Excellent communication and collaboration abilities.

Required skills

• Spark
• Java
• Python
• Unix scripting
• Oracle
• Netezza
• SQL
• NiFi

What we offer

• Opportunity to work on a global payments processing network.
• Access to cutting‑edge data technologies and a collaborative engineering culture.
• Career growth within a leading financial technology company.