Data Infrastructure Engineer

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We are building a next-generation AI-powered platform designed for comprehensive observability of digital infrastructure, including mobile networks and data centers. By leveraging advanced analytics, automation, and real-time monitoring, we empower businesses to optimize performance, enhance reliability, and prevent failures before they happen.

Our platform delivers deep insights, anomaly detection, and predictive intelligence, enabling telecom operators, cloud providers, and enterprises to maintain seamless connectivity, operational efficiency, and infrastructure resilience in an increasingly complex digital landscape.

Employment Type: Full-time

Department: Data Team

Location: Muscat Hills, Muscat, Oman

About BYANAT

We are building a next-generation AI-powered platform designed for comprehensive observability of digital infrastructure, including mobile networks and data centers. By leveraging advanced analytics, automation, and real-time monitoring, we empower businesses to optimize performance, enhance reliability, and prevent failures before they happen.

Our platform delivers deep insights, anomaly detection, and predictive intelligence, enabling telecom operators, cloud providers, and enterprises to maintain seamless connectivity, operational efficiency, and infrastructure resilience in an increasingly complex digital landscape.

Role Overview

This role is exclusively for Omani nationals and requires candidates to be Omani citizens.

We are looking for a talented and experienced Data Infrastructure Engineer to join our team. This role focuses on building, deploying, maintaining, and optimizing data infrastructure that supports our data-driven operations. You will work with large-scale data processing systems, ensuring they are robust, scalable, and high-performing in production environments. The ideal candidate has strong technical skills in distributed data systems, particularly in deploying and managing these systems, and is passionate about creating efficient data workflows that drive actionable insights.

Key Responsibilities

• Design, develop, and maintain scalable data infrastructure solutions to support large-scale data processing and analytics.
• Deploy and configure distributed data systems, including data storage (e.g., HDFS, cloud storage) and data processing frameworks (e.g., Hadoop, Spark), ensuring they are resilient, optimized, and production-ready.
• Build and automate ETL workflows, managing data extraction, transformation, and loading processes to ensure data quality, consistency, and availability.
• Monitor the health and performance of data infrastructure, proactively troubleshooting and resolving performance bottlenecks and operational issues to maintain system stability.
• Optimize and scale infrastructure, leveraging containerization (e.g., Docker) and orchestration (e.g., Kubernetes) to manage resources efficiently and support growing data volumes.
• Implement data governance practices and enforce best practices for data handling, quality, security, and compliance.
• Collaborate with data engineers, analysts, and cross-functional teams to understand data requirements and support data accessibility across the organization.
• Stay updated on the latest trends and tools in data infrastructure, evaluating and recommending new technologies to enhance our capabilities.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 2+ years of experience in building, deploying, and managing data infrastructure, particularly in distributed data systems.
• Proficiency in big data technologies, including Hadoop, Spark, Hive, or related frameworks.
• Strong programming skills in languages such as Python, Java, or Scala.
• Hands-on experience with cloud platforms (e.g., Google Cloud, AWS, Azure) and cloud storage solutions.
• Knowledge of data formats such as Parquet, Avro, or ORC, and data querying tools like HiveQL.
• Familiarity with data pipeline orchestration tools, such as Apache Airflow or Luigi.
• Excellent problem-solving skills and the ability to work collaboratively within a team environment.

Bonus Qualifications

• Certification in big data technologies (e.g., Google Cloud Professional Data Engineer).
• Experience with additional data engineering tools like Apache Kafka, Apache NiFi, or Flume.
• Telecom industry experience, particularly in building data solutions for network performance or customer analytics.
• Familiarity with DevOps practices and CI/CD pipelines in a data engineering environment.

What We Offer

• Performance-Based Compensation: Compensation is tied to achieving and exceeding performance targets, with accelerators for surpassing established goals and ensuring rewards align with impact and results delivered.
• Shares and Equity: Participate in our Employee Stock Option Plan (ESOP) and have a real stake in our company's success.
• Growth Opportunities: Access to sponsored courses, certifications, and continuous learning opportunities to help you advance your skills and career.
• Comprehensive Benefits: Health insurance, pension contributions, and additional support for your well-being and professional development.
• Annual Vacation: Generous paid annual leave to recharge and relax.
• Dynamic Work Environment: A culture that fosters innovation, collaboration, and the freedom to explore and experiment with new ideas.
• Impact and Ownership: The opportunity to be a leader and a doer, shaping the future of digital infrastructure while leaving your mark on the world.
• Flexible Work Arrangements: Options to work remotely or from our offices, ensuring you have the flexibility to balance your personal and professional life.
• A Mission-Driven Team: Join a passionate, diverse group of individuals dedicated to creating meaningful change in the infrastructure and analytics industry.

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Information Technology
• Industries
• Data Infrastructure and Analytics

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