Required Core Skills:
Bachelor's degree in computer science, Engineering, or a related field.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Strong proficiency in Java and Spring Boot.
Experience with Apache Kafka and stream processing.
Familiarity with Big Data technologies (Hadoop, Spark, etc.).
Knowledge of NoSQL databases (e.g., Druid, Cassandra, MongoDB).
Understanding of distributed systems and scalability.
Design, develop, and implement Kafka-based microservices using Spring Boot.
Build data pipelines for ingesting, processing, and analyzing large-scale data sets.
Optimize Kafka configurations for performance and reliability.
Work with Big Data technologies such as Hadoop, Spark, and NoSQL databases.
Ensure data security, integrity, and compliance with industry standards.
Troubleshoot and resolve issues related to Kafka topics, consumers, and producers.
Monitor system performance and proactively address bottlenecks.
Participate in code reviews and mentor junior developers.
Nice to have skills:
Certification in Kafka or related technologies.
Experience with cloud platforms (AWS, Azure, GCP).
Knowledge of containerization (Docker, Kubernetes)
Minimum years of experience: 12 years
Detailed Job Description:
Bachelor's degree in computer science, Engineering, or a related field.
Strong proficiency in Java and Spring Boot.
Experience with Apache Kafka and stream processing.
Familiarity with Big Data technologies (Hadoop, Spark, etc.).
Knowledge of NoSQL databases (e.g., Druid, Cassandra, MongoDB).
Understanding of distributed systems and scalability.
Excellent problem-solving skills and attention to detail.
Effective communication and teamwork abilities.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Design, develop, and implement Kafka-based microservices using Spring Boot.
Build data pipelines for ingesting, processing, and analyzing large-scale data sets.
Optimize Kafka configurations for performance and reliability.
Work with Big Data technologies such as Hadoop, Spark, and NoSQL databases.
Ensure data security, integrity, and compliance with industry standards.
Troubleshoot and resolve issues related to Kafka topics, consumers, and producers.
Monitor system performance and proactively address bottlenecks.
Participate in code reviews and mentor junior developers
