Data Engineering Specialist

3 days ago

Bengaluru, Karnataka, India beBeeKafka Full time ₹ 9,00,000 - ₹ 12,00,000
Kafka Lead

We are seeking a highly skilled Kafka Lead to join our team. As a key member of our data engineering group, you will be responsible for leading the design and implementation of our Apache Kafka architecture.

In this role, you will work closely with cross-functional teams to develop and maintain scalable, high-performance data pipelines using Kafka and its ecosystem tools. You will also be responsible for ensuring the reliability, security, and efficiency of our Kafka infrastructure.

The ideal candidate will have a strong background in software development, particularly in Java or Scala, as well as experience with distributed systems and big data technologies. Proficiency in Kafka, including its core concepts, configuration, and deployment, is essential. Additionally, knowledge of related technologies such as Confluent Platform, ZooKeeper, and Schema Registry would be beneficial.

We are looking for a strategic thinker who can provide technical leadership and guidance to our team. The successful candidate will have excellent communication and interpersonal skills, with the ability to work effectively with both technical and non-technical stakeholders.

  • MongoDB Certified DBA Associate or higher
  • Exposure to containerized environments (Docker, Kubernetes) and Infrastructure as Code (Terraform)
  • RedHat Certifications concerning Kafka or Debezium
Additional Requirements:

- 4+ years of experience as a MongoDB DBA in production environments

- Deep expertise in MongoDB architecture, including replication, sharding, backup, and recovery

- Strong hands-on experience with Debezium, especially the Oracle connector (LogMiner)

- Deep understanding of Oracle internals relevant to CDC: redo logs, SCNs, archive log mode, supplemental logging

- Proficiency with Apache Kafka and Kafka ecosystem tools

- Experience with monitoring and debugging Debezium connectors in production environments

- Ability to analyze logs, metrics, and connector configurations to identify root causes of issues

- Strong documentation and communication skills for delivering technical assessments

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