Senior Data Engineer, Data Engineering

Ready to drive unified, high‑impact data solutions for a global payments leader? As a senior data engineer, you’ll craft ingestion pipelines, curate diverse data assets, and enable actionable insights for cutting‑edge cyber‑products. What You'll Do Ingest, aggregate, and process data using CDE, CAI, Databricks, AWS. Partner with product, data science, platform, and tech teams to deliver data solutions. Manipulate high‑volume, high‑dimensional data from multiple sources. Build proofs of concept and prototypes for new data‑driven cyber products. Integrate new data assets to enhance customer value and existing services. Analyze transaction and product data to produce actionable business insights. What You Need Proficiency in Python (Pandas, NumPy, PySpark) and Impala. Strong SQL skills and experience with Hadoop/Databricks cloud platforms. Experience developing, testing, and deploying data pipelines and ETL processes. Hands‑on data modeling, mining, and reporting on large granular datasets. Ability to translate complex data requirements into business‑focused solutions. Comfortable working in fast‑paced, deadline‑driven team environments. Good to Have Experience with ETL/ELT tools such as Apache NiFi, Azure Data Factory, Talend. Knowledge of graph databases. Familiarity with machine‑learning algorithms and data‑visualization techniques. The Opportunity You’ll join Mastercard’s AI Network Services Team, building real‑time, data‑driven solutions that tackle fraud, security and digital identity challenges across a global payments network. The role offers a chance to shape unified data views that power innovative cyber‑products for a sustainable digital economy.