Lead Data Engineer
Mastercard (company site, opens in a new tab)8+ yrsPuneOn-siteDirect career pageEst. 35–60 LPA
Posted 21h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead technical design, standards, and best practices for data pipelines using Databricks, Spark, Python, PySpark, and dbt.
- Provide technical leadership through architecture and design reviews, mentor engineers, and oversee code quality and deployment standards.
- Own platform administration, CI/CD, DataOps, deployment, migration, and observability strategies for scalable data platforms.
Minimum Requirements
- Bachelor's or Master's degree in computer science or related technical field.
- 8+ years of data engineering experience with demonstrated technical leadership.
- Expert hands-on skills with Databricks (including administration), Spark, Python, PySpark, dbt, and CI/CD tools like GitLab and Jenkins.
- Experience defining engineering standards and leading team's engineering practices.
Ideal Candidate Profile
- Experienced in managing data platform architecture and operational excellence including observability, cost, and performance tuning.
- Strong leadership in small, agile teams focused on fintech or payment processing domains preferred.
- Familiarity with banking, e-commerce, or credit card payment processing environments and hybrid SaaS/on-premise architectures.