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About the Role
Polygon Technology is seeking an experienced Data Engineer to join our growing data infrastructure team. In this role you will design build and manage scalable data pipelines and streaming solutions that power critical business applications. This is a hands-on engineering role requiring expertise in high-throughput data processing and real-time data systems.
Were looking for a candidate with a strong background in Apache Kafka Solaris and data engineering principles capable of working closely with cross-functional teams to ensure efficient data flow and system reliability.
Key Responsibilities
Design and implement robust data pipelines using Apache Kafka for real-time and batch data processing
Manage and optimize data flow across distributed systems ensuring scalability and reliability
Maintain monitor and troubleshoot systems running on Solaris OS
Work closely with software engineers analysts and DevOps to ensure smooth integration of data systems
Ensure data quality consistency and security across the entire infrastructure
Develop tools and automation for monitoring testing and maintaining data systems
Participate in code reviews and contribute to best practices in data architecture
Qualifications :
Required Qualifications
Bachelors or Masters degree in Computer Science Data Engineering or a related field
Minimum 4 years of experience in a professional data engineering role
Proven expertise in Apache Kafka: producers consumers stream processing Kafka Connect
Hands-on experience working in Solaris environments
Strong understanding of distributed systems event-driven architecture and real-time data flow
Experience with shell scripting and system-level troubleshooting
Proficient in tools like Git SQL and data pipeline frameworks
Excellent problem-solving skills and ability to work independently in an on-site environment
Additional Information :
Why Join Polygon Technology
Remote Work :
No
Employment Type :
Full-time
Full-time