Real-Time Data Processing Engineer
1 day ago
We are seeking a skilled Golang Expert System Architect to join our team. This role involves designing and developing scalable backend systems using Golang and collaborating with cross-functional teams to integrate and optimize solutions using technologies such as Kafka, Postgres, and AWS Neptune. As a Golang Expert System Architect, you will play a key role in shaping the technical direction of our company and delivering robust and scalable solutions.
Key Responsibilities:
- Design and develop scalable backend systems using Golang.
- Collaborate with cross-functional teams to convert legacy batch processing systems into real-time streaming architectures.
- Implement, manage, and optimize data pipelines utilizing Kafka or other streaming technologies.
- Work with PostgreSQL to ensure high performance and reliability for data storage and access.
- Design, implement, and optimize GraphQL APIs for seamless data access and integration.
- Evaluate AWS services like Lambda, Fargate, SQS/SNS, and DynamoDB for optimization opportunities.
Estimated Salary: $140,000 - $200,000 per year
Required Qualifications:
- Golang Expertise: Strong proficiency in Golang with proven experience in building and maintaining backend systems.
- Real-Time Streaming: Hands-on experience with Kafka or other real-time streaming technologies.
- Database Management: Experience with PostgreSQL and solid knowledge of data modeling and best practices in database design.
- GraphQL: Familiarity with GraphQL or similar web API frameworks.
- DevOps: Proficiency in CI/CD processes, cloud infrastructure (AWS), and containerization tools such as Docker and Kubernetes.
- AWS Experience: Familiarity with AWS services like Lambda, Fargate, SQS/SNS, and DynamoDB.
Preferred Qualifications:
- Graph Databases: Familiarity with AWS Neptune or other graph databases.
- Microservices Architecture: Experience working with microservices architecture and distributed systems.
- Cloud Infrastructure: Experience with cloud infrastructure and deployment, particularly within AWS.
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