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Tier-1 brand but senior, niche big-data platform role reduces applicant density.
Core big-data platform skills like Spark, Kafka, and Trino are widely transferable across industries.
Explicit 8–12 years requirement plus mandatory Spark, Flink, Kafka, Trino, Iceberg skills.
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.
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.
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.