Data Engineer (Snowflake, DBT)
- 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.
- IAC
- deploy scalable, secure, and high-performing Snowflake environments in line with data governance and security in palce using Terraform and other automation scripit
- Automate infrastructure provisioning, testing, and deployment for seamless operations.
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