Database Engineer

Strong SQL & DBT Expertise
Experience building and maintaining scalable data models in DBT.
Proficient in modular SQL, Jinja templating, testing strategies, and DBT best practices.
 Data Warehouse Proficiency
Hands-on experience with Snowflake including:
 Dimensional and data vault modeling (star/snowflake schemas)
 Performance optimization and query tuning
 Role-based access and security management
 Data Pipeline & Integration Tools
Experience with Kafka (or similar event streaming tools) for ingesting real-time data.
Familiarity with SnapLogic for ETL/ELT workflow design, orchestration, and monitoring.
 Version Control & Automation
Proficient in Git and GitHub for code versioning and collaboration.
Experience with GitHub Actions or other CI/CD tools to automate DBT model testing, deployment, and documentation updates.
 Data Quality & Governance
Strong understanding of data validation, testing (e.g., dbt tests), and lineage tracking.
Emphasis on maintaining data trust across pipelines and models.
 
 Stakeholder Management
Partner with business and technical stakeholders to define data needs and deliver insights.
Ability to explain complex data concepts in clear, non-technical terms.
 Documentation & Communication
Maintain clear documentation for models, metrics, and data transformations (using DBT docs or similar).
Strong verbal and written communication skills; able to work cross-functionally across teams.
 Problem-Solving & Ownership
Proactive in identifying and resolving data gaps or issues.
Self-starter with a continuous improvement mindset and a focus on delivering business value through data.