Java kafka Developer

Overview

Job Summary:

We are looking for a highly skilled Kafka Developer with strong expertise in Confluent Kafka and Java development to design and implement event-driven architectures for real-time banking integrations. The role involves building high-throughput, low-latency streaming solutions, ensuring data quality and governance, and collaborating with multiple business units to deliver scalable, secure, and reliable data streaming solutions.

Key Responsibilities:

• Develop and maintain event-driven architectures using Confluent Kafka for real-time integration across banking systems (Core Banking, CRM, Fraud Detection, Risk, Compliance, etc.).
• Design and implement Kafka producers and consumers to handle high-throughput, low-latency banking transactions.
• Build reusable streaming components using Kafka Streams and ksqlDB for fraud detection, notifications, operational alerts, and analytics.
• Collaborate with the Data Governance team to ensure data lineage, quality, and metadata standards are met.
• Implement schema evolution best practices using Confluent Schema Registry for compatibility across multiple banking applications.
• Work closely with platform, DevOps, cybersecurity, and analytics teams for seamless delivery, monitoring, and operational support.
• Contribute to integration roadmaps, perform impact assessments, and ensure alignment with overall data platform architecture.
• Develop real-time use cases like customer onboarding status tracking, transaction streaming, digital engagement analytics, and branch performance monitoring.
• Gather requirements from Retail, Islamic Finance, Risk, and Compliance business units and translate them into scalable Kafka-based solutions.

Required Technical Skills:

• Java Proficiency: Strong expertise in Core Java (minimum 5+ years).
• Kafka Connect APIs: Ability to implement custom Source and Sink connectors, using Task interfaces in Java.
• Schema Handling: Experience with Schema Builder, Struct, schema evolution, and Schema Registry.
• Error Handling & Retries: Ability to build robust connectors that gracefully handle failures and support fault tolerance.
• Integration Expertise: Hands-on experience connecting to databases, REST APIs, SOAP services, and external systems.
• Kafka Fundamentals: Deep understanding of topics, partitions, offsets, consumer groups, message retention, and scaling strategies.
• SQL Proficiency: Ability to write complex SQL queries for data ingestion, transformation, and validation.
• Connector Logs: Strong debugging skills using Confluent Connect Logs and monitoring tools.

Preferred Qualifications:

• Experience in banking or financial services domain with large-scale data integration projects.
• Familiarity with microservices architecture and containerization (Docker, Kubernetes).
• Knowledge of real-time data analytics platforms and cloud-based Kafka deployments (AWS/MS Azure/GCP).
• Exposure to CI/CD pipelines, monitoring, and alerting frameworks (Prometheus, Grafana, ELK, etc.).

Soft Skills:

• Strong problem-solving and analytical skills.
• Excellent communication and stakeholder management abilities.
• Ability to work in fast-paced, agile environments with cross-functional teams.

Education:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.

Job Types: Full-time, Permanent

Pay: ₹210,853.55 - ₹2,517,502.05 per year

Application Question(s):

• What's your Notice Period?

Experience:

• Kafka Developer: 6 years (Required)
• java Kafka Developer: 6 years (Required)

Location:

• Pune, Maharashtra (Required)

Work Location: In person