Data Architect

1 week ago

Muscat, Muscat, Oman beBee Careers Full time

Job Summary

We are looking for an experienced Back-End Developer to join our team. As a key member of our engineering team, you will be responsible for designing, implementing, and maintaining the server-side architecture that powers our observability platform.

You will work closely with cross-functional teams to build scalable, secure, and high-performance APIs, data pipelines, and real-time processing systems that ingest and process massive amounts of telecom data. Your contributions will ensure our platform delivers reliable and timely insights to both operational and executive users.

Responsibilities
  • API Development
    • Design and implement RESTful APIs and microservices to support data ingestion, processing, and integration with front-end components.
    • Ensure APIs are scalable, secure, and optimized for real-time data processing.
  • Data Pipelines and Processing
    • Develop back-end components that handle high-volume, low-latency data streams.
    • Optimize system performance, ensuring high availability and rapid response times for critical observability metrics.
  • Collaboration and Communication
    • Work closely with cross-functional teams to translate product requirements into technical specifications and actionable tasks.
    • Participate in agile development practices including sprint planning, daily stand-ups, and code reviews.
  • Security and Compliance
    • Implement security best practices to protect sensitive telecom data.
    • Ensure the back-end architecture adheres to industry standards and regulatory requirements.
Requirements
  • Experience
    • 3–7+ years of professional experience in back-end development, with a strong portfolio of building scalable, data-intensive applications.
    • Proven experience with designing and developing RESTful APIs and microservices.
  • Skills
    • Proficiency in server-side programming languages (e.g., Node.js, Python, Java, or similar).
    • Experience with databases (SQL and NoSQL) and data processing frameworks.
    • Strong understanding of real-time data integration techniques, message brokers (e.g., Kafka, RabbitMQ), and cloud services (e.g., AWS, Azure, GCP).
    • Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.
    • Knowledge of security best practices and data compliance standards.
  • Education
    • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
Preferred Qualifications
  • Experience in developing real-time data systems or observability platforms.
  • Prior exposure to telecom networks, OSS, or similar data-intensive environments.
  • Familiarity with AI/ML integration, especially in handling data for Gen AI or LLLM-driven applications.

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