Senior Data Engineer - Spark / Kafka / NiFi
Mastercard (company site, opens in a new tab)6+ yrsPuneOn-siteDirect career pageEst. 22–36 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop, test, validate, and maintain scalable batch and real-time data processing applications using Apache Spark, Kafka, and NiFi.
- Build and support fault-tolerant distributed systems capable of handling large data volumes, including implementation of solutions for data replay, recovery, and failure handling.
- Collaborate on architecture design, enhance platform capabilities, monitor production environments, and contribute to operational excellence including troubleshooting and incident resolution.
Minimum Requirements
- Bachelor's degree in Computer Science, Engineering, or related technical field.
- 6+ years of hands-on experience in developing, testing, validating large-scale data-intensive applications.
- Strong expertise in Apache Spark (Batch and Structured Streaming), Apache Kafka, and Apache NiFi.
- Proficiency in Scala, PySpark or Python, with strong SQL and data modeling skills.
Ideal Candidate Profile
- Experienced with operating and optimizing production-grade distributed systems in cloud or hybrid cloud environments.
- Skilled in building reusable frameworks, automation frameworks, and validation platforms to enhance engineering productivity.
- Strong collaboration and technical leadership, able to contribute to architecture discussions, mentor junior engineers and promote engineering best practices.