Confluent Kafka Developer

Kafka/Confluent Developer (Banking Domain)

Location:

Pune/Nagpur

Experience:

5+ Years

About the Role

We are seeking a highly skilled Kafka/Confluent Developer to design, build, and optimize real-time data integration and streaming solutions across our banking systems. This role requires strong expertise in Java, Confluent Kafka, and Kafka Connect APIs to ensure high-throughput, low-latency event-driven architectures that support mission-critical banking use cases.

Key Responsibilities

• Develop and maintain event-driven architectures using Confluent Kafka for real-time integration

across core banking, CRM, fraud detection, and compliance systems.

• Design and implement Kafka producers and consumers to handle high-volume, low-latency banking transactions.

• Build reusable streaming components using Kafka Streams and ksql

DB for fraud detection,

customer notifications, and operational alerts.

• Collaborate with the Data Governance team to ensure data lineage, quality, and metadata standards are upheld.

• Enforce schema evolution best practices with Confluent Schema Registry to manage compatibility

across applications.

• Develop custom Kafka Connectors (Source/Sink) and implement robust error handling, retries, and logging.

• Integrate Kafka with external systems such as databases, REST APIs, and SOAP services.

• Work with Dev Ops, cybersecurity, and platform teams to ensure seamless deployment, monitoring, and security compliance.

• Partner with business units (Retail, Islamic Finance, Risk, Compliance) to gather requirements and

translate them into scalable Kafka-based solutions.

• Support data platform architects and project managers with integration roadmaps and impact assessments.

• Enable real-time use cases such as customer onboarding status, transaction streaming, digital

engagement analytics, and branch performance monitoring.

Required Skills & Experience

• Strong Java proficiency (must-have).

• Hands-on experience with Confluent Kafka and Kafka Connect APIs (Source/Sink connectors, Task

interfaces).

• Deep understanding of Kafka topics, partitions, offset management, and replication.

• Proficiency in schema handling (Schema Builder, Struct, Schema evolution).

• Strong error handling, retries, and connector debugging using Confluent Connect Logs.

• Experience integrating Kafka with databases, REST APIs, and SOAP services.

• Proficiency in SQL for query optimization and data validation.

• Knowledge of data governance, security standards, and compliance in banking/financial systems.

• Familiarity with Kafka Streams and ksql

DB for real-time analytics.

Preferred Qualifications

• Experience in banking, fintech, or financial services domain.

• Exposure to cloud platforms (AWS, Azure, GCP) for Kafka deployment.

• Familiarity with CI/CD pipelines and containerization (Docker/Kubernetes).

• Strong collaboration skills with cross-functional teams. (Dev Ops, Business Analytics, Risk, Compliance)