Data Engineering Expert

6 days ago


Riyadh, Ar Riyāḑ, Saudi Arabia Giza Systems Full time
About the Role

We are seeking a highly skilled Data Engineering Expert to join our team at Giza Systems. As a key member of our data engineering team, you will be responsible for designing, developing, and optimizing data pipelines and workflows for ETL processes.

Key Responsibilities
  1. Data Pipeline Design and Development: Design and develop efficient and scalable data pipelines and workflows for ETL processes, ensuring high-quality data delivery.
  2. Collaboration with Data Scientists and Analysts: Collaborate with data scientists and analysts to ensure data availability and quality, and to identify opportunities for data-driven insights.
  3. Data Architecture and Infrastructure: Implement and maintain scalable data architectures and infrastructure, ensuring data security, compliance, and governance practices are followed.
  4. Troubleshooting and Issue Resolution: Troubleshoot and resolve data-related issues and discrepancies, and implement corrective actions to prevent future occurrences.
  5. Tool Utilization: Utilize SQL, Python, and other tools for data manipulation and analysis, and stay up-to-date with the latest industry trends and technologies in data engineering.
  6. Cloud Platform Management: Work with cloud platforms (e.g., AWS, Azure, GCP) for data storage and processing, and monitor and improve data pipeline performance and reliability.
  7. Documentation and Knowledge Sharing: Develop and maintain documentation for data engineering processes and systems, and share knowledge with team members to ensure seamless collaboration.
Requirements
  • Excellent Communication Skills: Possess excellent communication skills to effectively collaborate with cross-functional teams.
  • Flexibility and Adaptability: Demonstrate flexibility to work under pressure and in different environments, and adapt to changing priorities and deadlines.
  • Problem-Solving Skills: Possess strong problem-solving skills to identify and resolve complex data-related issues.
  • Leadership Skills: Demonstrate leadership skills to guide and mentor team members, and contribute to the growth and development of the team.
  • Organizational and Administrative Skills: Possess excellent organizational and administrative skills to manage multiple projects and priorities, and ensure timely delivery of results.


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