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Tier-1 bank, mid-level data platform role in Pune with common streaming skills drives high applicant competition.
Streaming and Java data-platform skills are transferable, but financial domain familiarity moderately affects fit.
Explicit 5+ years and mandatory Java plus streaming framework experience imply high shortlisting strictness.
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Design, develop, and maintain a high-performance streaming data platform using Java and technologies like Apache Flink, Kafka, and Trino.
Advise data engineers on optimizing real-time and batch data processing applications to meet low-latency requirements.
Extend and integrate data solutions across various sources and contribute to event-driven architecture design.
Bachelor’s degree in Computer Science, Engineering, or related field.
Minimum 5 years of experience developing and deploying production-ready Java applications in data engineering.
Strong experience with Java 11+, SQL, distributed stream processing frameworks (Apache Flink, Spark Streaming, Kafka Streams).
Experience with event-driven architectures and real-time data processing.
Experienced in designing and operating scalable, low-latency streaming data platforms using core Java and modern distributed stream processing tools.
Comfortable working in collaborative Agile teams closely with product managers and engineers throughout SDLC.
Familiar with extending data platforms and integrating diverse data sources including APIs, databases, and streaming systems.