Senior Data Engineer - Modern Data Platform

• Design, develop, and maintain end-to-end data pipelines using Fivetran, dbt, and Snowflake.
• Configure and manage Fivetran connectors for databases, SaaS applications, APIs, and files.
• Develop dbt models, macros, incremental models, tests, and documentation.
• Optimize Snowflake SQL queries, data models, and performance.
• Implement data quality checks, monitoring, reconciliation, and alerts.
• Troubleshoot production issues across data ingestion and transformation pipelines.
• Support Git, CI/CD, code reviews, and DEV/QA/PROD deployments.
• Collaborate with cross-functional teams to onboard data sources and deliver data solutions.

Data Management, SQL (Structured Query Language), Snowflake Schema, Data Modeling, Performance Modeling, Query Optimization, Data Quality, Reconciliation, Quality Monitoring, Identify Issues, We are looking for a hands-on Senior Data Engineer with strong experience in Fivetran, dbt, Snowflake, and SQL to build, maintain, and optimize scalable enterprise data pipelines., * Strong hands-on experience with Fivetran, dbt/dbt Cloud, Snowflake, and SQL.

• Expertise in data ingestion, transformation, and modern ELT architecture.
• Experience with Snowflake data modeling, performance tuning, and RBAC.
• Strong SQL skills, including CTEs, window functions, and query optimization.
• Experience with Git, CI/CD, deployment workflows, and production support.
• Minimum 5 years of Data Engineering experience.
• At least 2 years of production experience with Snowflake and dbt.
• Proven experience implementing and supporting Fivetran ingestion pipelines.

Preferred Skills:

• Python scripting and automation.
• Apache Airflow / AWS MWAA and AWS services.
• REST APIs, Salesforce, Marketo, and SFTP integrations.
• Snowpark, Databricks, Terraform, and data observability tools.
• Familiarity with AI-assisted development tools such as Claude and Cursor.