Job Description

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