analytics engineer

JD:

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.
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•  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.