Senior Snowflake 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
We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.
Job Summary
We are looking for an experienced Snowflake Data Engineer with strong expertise in Data
Warehousing, Data Integration, SQL Development, and Snowflake Cloud Platform. The ideal
candidate will be responsible for designing, developing, optimizing, and supporting enterprise data
solutions while working closely with business stakeholders and client teams.
The role requires hands-on experience with Snowflake, complex SQL development, data modeling,
ETL/ELT processes, and Agile delivery methodologies.
Key Responsibilities
Data Engineering & Snowflake Development
Design, develop, and maintain scalable data solutions on the Snowflake Cloud Platform.
Develop and optimize complex SQL queries, stored procedures, and data transformation
processes.
Build and support enterprise data integration and data warehousing solutions.
Perform data validation, reconciliation, and quality assurance activities.
Troubleshoot and resolve production data issues.
Data Warehousing & Data Modeling
Design and maintain dimensional and enterprise data models.
Implement best practices for data warehousing architecture.
Support data marts, reporting layers, and analytics platforms.
Ensure data integrity, consistency, and performance optimization.
Change Request & Agile Delivery
Manage end-to-end Change Request (CR) lifecycle activities.
Support Functional Requirements and Business Council initiatives.
Collaborate with stakeholders throughout design, development, testing, and deployment
phases.
Follow Agile/Scrum methodologies for project delivery.
Client & Business Engagement
Interact directly with clients, business users, and partner teams.
Gather requirements and provide technical recommendations.
Support business-critical initiatives and data delivery commitments.
Communicate project status, risks, and issue resolutions effectively.
Production Support
Monitor and support production data environments.
Participate in rotational shift support, including night shifts.
Ensure SLA compliance and timely issue resolution.
Support deployment and release activities.
We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.
Work Experience
Snowflake
Snowflake Cloud Data Platform
Snowflake Architecture
Snowflake Performance Optimization
Snowflake Stored Procedures
Data Loading & Data Transformation
SQL & Database Development
Advanced SQL
Complex Query Optimization
Stored Procedures
Data Analysis
Database Performance Tuning
Data Engineering
Data Integration
ETL/ELT Development
Data Migration
Data Validation
Data Quality Management
Data Warehousing
Data Warehousing Concepts
Dimensional Modeling
Star Schema
Snowflake Schema
Data Mart Design
Methodologies
Agile
Scrum
Change Request Management
Requirement Analysis

Work arrangement
No