 
						Kafka Data Engineer- Bangalore- Electronic City- Hybrid
1 week ago
Job Description- Kafka Data Engineer
Role Overview:
We are seeking a skilled Kafka Data Engineer to design, build, and optimize real-time data streaming solutions using Apache Kafka and Google Cloud Platform (GCP). The ideal candidate will have hands-on experience in Kafka topic design, data pipeline development, and cloud-native data engineering practices.
Key Responsibilities:
- Design and implement scalable and secure Kafka-based data streaming solutions. 
- Develop and maintain real-time and batch data pipelines using GCP services such as Dataflow, Pub/Sub, and Big Query. 
- Collaborate with architects, data engineers, and DevOps teams to ensure seamless integration of Kafka with cloud data platforms. 
- Optimize Kafka topic design, partitioning strategies, and message schemas for performance and reliability. 
- Monitor and troubleshoot Kafka clusters and streaming jobs to ensure high availability and low latency. 
- Implement best practices for data quality, governance, and security in streaming environments. 
- Participate in code reviews, design discussions, and continuous improvement initiatives. 
Required Qualifications:
- 5+ years of experience in data engineering with a focus on real-time data processing. 
- Strong hands-on experience with Apache Kafka, including topic design, schema registry, and Kafka Streams. 
- Proficiency in GCP services such as Pub/Sub, Dataflow, BigQuery, and Cloud Storage. 
- Solid understanding of ETL/ELT processes, data modeling, and distributed systems. 
- Experience with CI/CD pipelines and infrastructure-as-code tools like Terraform. 
- Strong problem-solving skills and the ability to work in a collaborative, agile environment. 
Preferred Qualifications:
- GCP certifications (e.g., Professional Data Engineer). 
- Experience with DevOps practices and containerization (Docker, Kubernetes). 
- Familiarity with multi-cloud environments and hybrid data architectures. 
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