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Tier-1 brand, metro location, and senior but specialized Scala/Kafka role yields moderate applicant density.
Specialized Scala, Kafka, and Neo4j stack reduces cross-industry transferability.
Explicit 8-12 years and mandatory Scala, Kafka, and Neo4j skills increase filtering rigor.
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Design, develop, and maintain Scala-based microservices and related batch jobs deployed on internal Cloud infrastructure and Linux.
Build and manage Apache Kafka publishers and subscribers for real-time event-driven data streaming.
Perform graph data modeling and optimization using Neo4j to meet application and performance requirements.
Strong proficiency and hands-on experience in Scala programming and microservices development.
Solid experience with Apache Kafka and Neo4j including graph data modeling and Cypher queries.
Experience deploying applications on Cloud platforms (internal Cloud) and Linux environments.
Work Experience Required: 8-12 years of relevant experience; Bachelor's degree or equivalent experience.
Experienced mid to senior developer with deep expertise in Scala and event-driven distributed systems.
Skilled in integrating real-time streaming with Kafka and graph databases for complex data models.
Capable of working within and influencing architectural decisions for scalable, maintainable fintech applications.