Senior Data Engineer – Apache Spark | Kafka | Flink | Trino | Iceberg | Big Data | Streaming | Data Platform 8–12 Years
Cisco (company site, opens in a new tab)8–12 yrsBengaluruHybridDirect career pageEst. 35–60 LPA
Posted on 12 Sept
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Job description
Structured overview of role & requirements
About This Role
- Enhance and operate big data platform technologies including Kafka-based streaming applications and data processing with Apache Spark/Flink.
- Develop and manage large analytical datasets using data lake technologies such as Apache Iceberg.
- Optimize data jobs for performance, scalability, and cost efficiency while writing clean, testable code and conducting code reviews.
Minimum Requirements
- 8-12 years of experience in data engineering and software development.
- Proficiency in Java/Scala, Python, or equivalent languages with strong coding skills.
- Hands-on experience with Apache Spark, Apache Flink, Kafka, and query engines like Trino/Presto.
- Strong SQL skills and understanding of data modeling for analytical workloads.
Ideal Candidate Profile
- Experienced in working with open source big data ecosystems and streaming applications at scale.
- Skilled at managing and tuning complex data pipelines for performance and cost efficiency.
- Familiar with data lake table formats and/or real-time analytics stores as indicated by preferred qualifications.