Senior / Lead Data Engineer (AI & Data Platform)
mastercard · Singapore
Job description
About the role
Mastercard Foundry R&D is looking for a Senior / Lead Data Engineer to shape its AI innovation roadmap. You will design and build scalable, data‑driven prototypes and products that support AI and generative AI workloads.
Key responsibilities
- Own data architecture and modeling strategy for AI projects, defining storage, organization, and access patterns.
- Lead the development of robust ETL/ELT pipelines and data models that move large datasets with high reliability and low latency.
- Oversee data quality, governance, and compliance, implementing anonymization, lineage, and controls for sensitive data.
- Provide hands‑on technical leadership, conduct code reviews, enforce best practices, and improve development tooling.
- Collaborate cross‑functionally with engineers, data scientists, and product stakeholders to deliver data components in agile sprints.
Required profile
- 8–12+ years of experience in data engineering or backend engineering, including senior or lead roles.
- Proven ability to design end‑to‑end data systems, solve scale and performance challenges, and operate production pipelines.
- Experience working in fast‑moving R&D environments with experimental workloads.
Required skills
- Python, Java, Scala
- Apache Spark, Hadoop, Hive, Impala
- Airflow
- Cloud platforms: AWS, Azure, GCP
- Cloud services: S3, Glue, EMR, Data Factory
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Published 3 weeks ago
Expires 1 month from now
15 views · 0 interested
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mastercard
Singapore
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