Lead Data Engineer
Mastercard (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 28–45 LPA
Posted 7h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain backend data services and pipelines using Scala, Python, and Java on Cloudera Data Platform with Spark, focusing on performance and reliability.
- Design and build AI-powered agents for anomaly detection and intelligent automation to reduce manual efforts and scale backend operations.
- Support cloud-based data workloads primarily on AWS and Databricks, integrating on-premise and cloud platforms to enable downstream analytics and business requirements.
Minimum Requirements
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
- Strong hands-on experience with Scala, Python, or Java in backend or data-intensive environments.
- Proven experience working with Cloudera Data Platform (CDP), Spark, and familiarity with Cloudera Manager for cluster administration and monitoring.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in designing scalable, reliable backend and data pipeline systems that handle large-scale transactional datasets.
- Familiarity with AI agent creation and intelligent automation in the context of data engineering workflows.
- Comfortable working in cloud environments (AWS, Databricks) and managing hybrid data platforms combining on-prem and cloud infrastructure.