Senior Data Engineer at Saudi Commission Of Health Specialists

Saudi Commission Of Health Specialists, a renowned scientific professional body established in 1992, is seeking a highly proficient Senior Data Engineer. Our organization thrives on the vision of fostering a healthy society through the contributions of qualified health practitioners. As the backbone of our data operations, you will play a pivotal role in maintaining and enhancing our data management systems.

Overview:

In this role, you will be at the heart of our operations, working to classify and link our available data sources while ensuring the highest level of data quality through meticulous inspection and error discovery. Your expertise in the development and design of data structures and warehouses will be pivotal, as will your ability to construct mechanisms for efficient data extraction and transfer.

Responsibilities Include:

• Coordinating the linkage with available data sources and classifying them effectively.
• Rigorously inspecting data to discover errors, with a consistent focus on improving data quality.
• Developing and designing our warehouse and data structures to optimize data storage and retrieval.
• Building robust mechanisms for efficient and accurate data transfer and extraction.
• Monitoring and controlling daily data transfer operations, and effectively resolving any problems or errors encountered.
• Building and maintaining the Data Mart layer, providing the essential data layer for our analytics and data display teams.

Skills and Requirements: 

• Ability to coordinate the linkage with available data sources and classify them.
• Experience in inspecting data and discovering errors, with a focus on raising data quality.
• Proven track record in developing and designing warehouse and data structures.
• Expertise in building mechanisms for transferring and extracting data.
• Capability to monitor and control daily data transfer operations and resolve problems and errors.
• Experience in building and maintaining the Data Mart layer.
• Two or more years of experience with Python, SQL, and data visualization/exploration tools.
• Excellent communication skills.
• Experience in building or maintaining ETL processes.

Computer science, information technology, engineering, or related discipline.