Data Engineer

• Build and maintain dbt models, macros, tests, snapshots, seeds, packages, and documentation.
• Configure and manage dbt Cloud jobs, schedules, deployments, and environments.
• Configure and troubleshoot Fivetran connectors, incremental loads, schema changes, and syncs.
• Develop scalable Snowflake databases, schemas, tables, views, and data models.
• Write advanced SQL for transformation, validation, reconciliation, and performance optimization.
• Design Bronze/Raw, Silver/Cleansed, Gold/Business-Ready, and Semantic layers.
• Apply dimensional modeling, fact/dimension tables, star schemas, and proper data grain.
• Implement Git, Azure DevOps, CI/CD, code reviews, and multi-environment deployments.
• Apply Snowflake security including RBAC and dynamic data masking.
• Support and refine Snowflake CoCo AI Agent semantic definitions and business metrics.
• Troubleshoot end-to-end pipelines across Source * Fivetran * Snowflake * dbt * BI/Consumption.
• Collaborate with data architects, engineers, BI teams, analysts, and business stakeholders.

We are looking for a Senior Data Engineer with strong hands-on experience in dbt Core, dbt Cloud, Fivetran, and Snowflake. The candidate will design, develop, deploy, and support scalable cloud-based ELT pipelines and analytics-ready data solutions., * 4+ years of Data Engineering / Analytics Engineering experience.

• Strong dbt Core & dbt Cloud experience.
• Strong Fivetran experience.
• Strong Snowflake experience.
• Advanced SQL and data transformation skills.
• Strong knowledge of ELT, data warehousing, dimensional modeling, and cloud data platforms.
• Experience with Git, Azure DevOps, CI/CD, automated testing, and data quality.

Preferred:

• dbt/Snowflake certification.
• Python experience.
• Salesforce, NetSuite, SAP, or Workday integration experience.
• Data governance, lineage, metadata, and observability experience.
• Consulting/client-facing experience.