Data Infrastructure Specialist

2 days ago

Muscat, Muscat, Oman beBee Careers Full time
About the Role

We are seeking a talented Data Infrastructure Engineer to join our team.

Job Description

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
  • Data Infrastructure Design and Deployment: Design, develop, and maintain scalable data infrastructure solutions to support large-scale data processing and analytics.
  • Distributed Data Systems Management: 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.
  • ETL Workflows Automation: Build and automate ETL workflows, managing data extraction, transformation, and loading processes to ensure data quality, consistency, and availability.
  • Data Infrastructure Monitoring and Optimization: Monitor the health and performance of data infrastructure, proactively troubleshooting and resolving performance bottlenecks and operational issues to maintain system stability.
  • Containerization and Orchestration: Optimize and scale infrastructure, leveraging containerization (e.g., Docker) and orchestration (e.g., Kubernetes) to manage resources efficiently and support growing data volumes.
  • Data Governance and Compliance: Implement data governance practices and enforce best practices for data handling, quality, security, and compliance.
  • Collaboration and Knowledge Sharing: Collaborate with data engineers, analysts, and cross-functional teams to understand data requirements and support data accessibility across the organization.
  • Stay Updated on Industry Trends: 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.

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