Data Engineer

Job Requirements

At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.

Key Responsibilities
Design and Build Data Pipelines: Develop scalable ETL/ELT workflows to collect, process, and transform large datasets 
Data Architecture: Design robust data architectures, including data warehouses, data lakes, and cloud-based storage solutions 
Data Quality and Governance: Implement validation, cleaning, and governance processes to ensure data integrity and compliance 
Collaboration: Work closely with data scientists, analysts, and IT teams to understand requirements and optimize data usage 
System Optimization: Monitor and optimize system performance for reliability, scalability, and efficiency 
Support and Troubleshooting: Provide support to production and QA teams, troubleshoot pipeline issues, and maintain system uptime 
Mentorship and Leadership: For senior roles, manage teams, mentor junior engineers, and coordinate project workloads