Senior Data Engineer - Spark / Kafka / NiFi
Mastercard (company site, opens in a new tab)6+ yrsPuneOn-siteDirect career pageEst. 22–36 LPA
Posted 1d 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 validation suites and reusable frameworks for high-performance, fault-tolerant distributed data systems handling large data volumes.
- Optimize performance and scalability of distributed applications and support production operations including troubleshooting and incident resolution.
Minimum Requirements
- Bachelor's degree in Computer Science, Engineering, or related technical field.
- 6+ years of hands-on development, testing, and deployment experience with 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 and experience with distributed storage systems such as Apache Ozone, Ceph, HDFS, or cloud-based object stores.
Ideal Candidate Profile
- Experienced in operating production-grade distributed data platforms in cloud or hybrid environments with a focus on reliability and performance.
- Ability to translate complex business and technical requirements into scalable, reusable software solutions.
- Demonstrates leadership in engineering excellence, including mentoring, code reviews, and collaboration across Product, Architecture, Platform, and DevOps teams.