Senior Data Engineer
1 week ago
Mrsool is a leading on-demand delivery platform in the Middle East and North Africa (MENA) region, renowned for its seamless user experience and high ratings on both Apple's App Store and Google's Play Store.
We pride ourselves on providing an unparalleled 'order anything from anywhere' experience, made possible by our extensive fleet of dedicated on-demand couriers. Our mission is to deliver convenience and empowerment to our customers, enabling them to get what they need when they need it, all at the tap of a button.
The RoleWe are actively seeking a highly motivated and skilled Senior Data Engineer to establish robust foundational data infrastructures. As a key member of our team, you will be responsible for designing and implementing data architectures, creating systems for moving and transforming data, and ensuring its accuracy.
You will collaborate closely with cross-functional teams to bolster our business objectives and offer insights and recommendations for data-driven decision-making. This role presents a unique opportunity to be a crucial part of enhancing data-driven decision-making processes within the organization and building data-intensive applications.
Key Responsibilities- Design and implement cloud-based data storage, processing, and orchestration solutions while maintaining cost-effectiveness.
- Develop and deploy batch and real-time data pipelines, storage, and model schemas, leveraging performance tuning techniques, conceptual schemas, and modern technology.
- Create and optimize data models to support efficient data retrieval and analysis, and develop data marts for various business units.
- Work closely with product managers, data analysts, and other business stakeholders to gather requirements and ensure alignment with data strategies.
- Collaborate with backend engineers to integrate data solutions into applications.
- Design, develop, and maintain critical data infrastructure, datasets, and pipelines.
- Ensure data is stored safely and securely, adhering to frequently changing regulations (e.g. GDPR) and best practices for user data storage and security.
- Manage critical data pipelines, monitor their SLAs, and continuously improve pipeline efficiency and data quality.
- Facilitate data integration and transformation requirements for moving data between applications, ensuring interoperability with database, data warehouse, and data mart environments.
- Assist in designing and managing the technology stack used for data storage and processing.
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