Vrinda International
CONFLUENT KAFKA DEVELOPER
PAN India, INSur siteCDITemps plein
Publié 5 sept. 2026
Cet emploi est publié en EN
HIRING | CONFLUENT KAFKA DEVELOPER
Location: Pan India
Experience: 5–7 Years
Timings: 2:00 PM – 11:00 PM IST
Salary: Up to ₹14 LPA
Joining: Immediate
Employment: Full Time
ROLE: CONFLUENT KAFKA DEVELOPER
We are looking for an experienced Confluent Kafka Developer with strong expertise in real-time data processing, Kafka ecosystem components, connectors, and Apache Flink.
MANDATORY SKILLS
- 5+ years of experience with Confluent Kafka in critical/24×7 applications
- Strong expertise in designing real-time data processing solutions using Kafka
- Hands-on experience with Kafka Brokers, ZooKeeper, Kafka Connect, Schema Registry & Flink
- Expertise in configuring Confluent Source & Sink Connectors
- Strong experience in writing Apache Flink code for real-time use cases
- Experience handling complex/non-structured data including Nested JSON & Avro
- Good experience with AWS Cloud, especially S3, Lambda & RDS
- Strong troubleshooting, incident management, problem management & RCA skills
- Ability to document Kafka best practices, standards and provide technical guidance to teams
GOOD TO HAVE
- Confluent Kafka Certification
- Experience working with large-scale, highly available Kafka environments
- Strong understanding of streaming and event-driven architectures
Aperçu du poste
Type de poste
Temps plein
Compétences requises
Confluent Kafka (production/24x7 environments)Designing real-time data processing solutions using KafkaKafka Brokers administration and configurationApache ZooKeeper (for Kafka cluster management)Kafka Connect (framework)Configuring Confluent Source and Sink ConnectorsSchema Registry (Avro schema management)Apache Flink development for real-time use casesHandling complex/unstructured data (Nested JSON, Avro)AWS cloud services: S3, Lambda, RDSTroubleshooting, incident management, problem management and RCADocumenting Kafka best practices and providing technical guidanceExperience with large-scale, highly available Kafka environmentsUnderstanding of streaming and event-driven architecturesConfluent Kafka Certification (desirable)
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