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Tier-1 bank and metro location increase visibility, but senior niche Flink/Kafka specialization reduces candidate density.
Strong finance domain expectations but core streaming and platform skills (Flink/Kafka/Redis) are transferable across industries.
Explicit 10+ years, VP seniority, and mandatory Flink/Kafka/Redis/Java/Python require tight filters.
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Lead the technical design, development, and implementation of scalable, low-latency data pipelines and streaming platforms using Apache Flink and microservices architectures.
Provide hands-on technical leadership and coaching to junior and mid-level data engineers across multiple technology stacks including Java and Python.
Drive platform infrastructure operations, optimizations, and integration of emerging open-source data technologies focusing on performance, resilience, and operational excellence.
10+ years of hands-on software development experience with at least 3-5 years in a lead technical contributor or staff engineer role in data-intensive environments.
Proven expertise in designing and implementing streaming/data pipeline architectures and microservices using technologies such as Apache Flink, Redis, Kafka, Java (Java 11+), and Python.
Bachelor’s degree or equivalent experience.
Work Experience Required: 10+ years; Notice Period: Not explicitly mentioned in the JD.
Demonstrates strong polyglot programming proficiency with hands-on experience in Java, Python, and front-end technologies like Angular/React, capable of direct technical contribution and guidance.
Experienced in cloud-native application development and deployment using Kubernetes/OpenShift/ECS and CI/CD pipelines with tools like Jenkins, TeamCity, and SonarQube.
Able to translate complex technical requirements into scalable, fault-tolerant system architectures and lead cross-functional technical collaborations in fast-paced, data-driven environments.