Lead Data Engineer

Nawy Proptech is in search of a highly motivated and talented Lead Data Engineer to become a valuable addition to our dynamic team. As a Lead Data Engineer at Nawy, you will be responsible for leading a team of data engineers and designing, implementing, and maintaining data infrastructure to support the organization's data needs. Additionally, you will play a key role in data management, ensuring data quality, integrity, and modeling. We are seeking an individual with a strong technical background, hands-on experience with data processing technologies, and a passion for building robust and efficient data solutions.

• Lead and mentor a team of data engineers, providing guidance, support, and coaching to ensure their professional growth and development.
• Collaborate with data scientists, analysts, and other stakeholders to understand data

requirements

and design appropriate solutions.

• Work closely with IT and infrastructure teams to deploy and maintain data storage and processing systems, including databases, data warehouses, and cloud infrastructure.
• Design, build, and maintain robust, scalable data pipelines to ingest, process, and transform data from various sources, including internal databases and external APIs.
• Optimize data pipelines for performance, scalability, and reliability, ensuring timely and accurate delivery of data.
• Implement data validation and quality checks to identify and rectify any issues in data pipelines, ensuring data integrity.
• Explore and evaluate new technologies, tools, and frameworks to improve data engineering processes and capabilities.
• Perform data modeling and schema design to support analytical and reporting requirements.
• Design and build data marts and business layers to facilitate efficient data access and analysis.

Requirements

• Bachelor's degree in Computer Science, Information Systems, or other related technical field or equivalent work.
• Proven experience as a Data engineer or similar role, with at least 5 years of experience.
• Advanced SQL knowl…