Vezeeta is a global digital healthcare powerhouse that serves and empowers patients in every step of their healthcare journey by tapping into the power of data and knowledge. We are trusted by patients, healthcare providers, and medical industry leaders to facilitate and enhance healthcare accessibility and quality around the globe. Currently serving more than 6 million patients across 6 countries, Vezeeta is transforming the healthcare experience of patients, by digitally streamlining their healthcare journey, and enabling them to search, book, and review the best doctors and medical services in just one minute.

Our organization is quickly growing, generating demanding roles for like-minded, forward-thinking individuals - with plenty of room for professional and personal growth. If you think you share our belief in redirecting possible healthcare pains into productive tech-enabled solutions, and can add to our positive culture, we’d love to hear from you.

The Role

The engineering department at Vezeeta is having a highly skilled technology engineers with business knowledge and technical expertise to implement strategies, evaluate processes, and build upon an infrastructure that supports the ever-changing needs of our customers. In this role, you will work with different systems, designing, developing, and integrating them at every stage of the life cycle. If you are reliable in delivering mission-critical solutions with the goals of accessibility, optimization, and security, you could be our ideal candidate. This is a position that will see you gain experience and skills in a wide range of areas as well as work at the forefront of the health-tech industry.

Responsibilities:

• Provide analytical reports and recommendations to improve product features or build new data products based on real time and historical data review and analysis.
• Report regularly on the quality of data acquired internally and externally.
• Build analytics tools that utilize the data pipeline to provide insights into operational efficiency of the key business performance metrics.
• Develop KPIs for Analytics teams that assist them in optimizing the data into decision making tools.
• Create and maintain optimal data pipeline architecture, and develop, construct, test and maintain architectures. Align architecture with business requirements
• Developing and automating data acquisition processes
• Identify ways to improve data reliability, efficiency and quality
• Prepare data for predictive and prescriptive modeling.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Create and maintain optimal data pipeline architecture for real-time and batch analysis.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems
• Perform other related duties and responsibilities associated with the position
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability,