Job Description
Role :Scala + Kafka Data Engineer
Exp range: 6-10 years
Locations: Chennai, Bengaluru, Hyderabad, Pune, Kochi, Kolkata, NCR/Delhi
Virtual Interview: 08-Aug-26
We are looking for a skilled Scala + Kafka Data Engineer to design, develop, and maintain scalable data processing and streaming solutions. The ideal candidate should have strong expertise in Scala, Apache Kafka, distributed data processing, and big data technologies to support enterprise-scale data platforms.
Key Responsibilities
- Design, develop, and maintain high-performance data pipelines using Scala and Apache Kafka.
- Build and optimize real-time and batch data processing solutions.
- Develop scalable data ingestion, transformation, and streaming frameworks.
- Work closely with data architects, business stakeholders, and engineering teams to deliver data-driven solutions.
- Ensure data quality, reliability, and performance across data platforms.
- Troubleshoot and resolve issues related to data processing, streaming, and system performance.
- Implement best practices for coding, testing, monitoring, and deployment.
- Collaborate with DevOps teams for CI/CD and platform automation.
Required Skills
- 6-10 years of experience in Data Engineering.
- Strong hands-on expertise in Scala and Apache Kafka.
- Experience with distributed data processing frameworks such as Spark.
- Strong knowledge of real-time streaming architectures and event-driven systems.
- Experience working with SQL and NoSQL databases.
- Knowledge of microservices architecture and REST APIs.
- Experience with cloud platforms (AWS, Azure, or GCP).
- Familiarity with Docker, Kubernetes, and CI/CD practices.
- Strong analytical and problem-solving skills.
Preferred Skills
- Experience with Apache Spark Streaming, Kafka Streams, or Flink.
- Exposure to Data Lake and Data Warehouse technologies.
- Experience with big data ecosystems and modern data platforms.
- Knowledge of data governance and data quality frameworks.
If you are interested in this opportunity and available to attend the virtual interview on 8th August, kindly apply at the earliest.
Post receiving your application, I will connect with you for data collection and discuss the further steps in the hiring process
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