Analytics Engineer

Role Overview

We are looking for an experienced Analytics Engineer with strong expertise in DBT, Snowflake, and SQL to build scalable data models, optimize data warehouse solutions, and ensure high-quality, trusted data. This is a remote position requiring 4-8 years of experience.

Responsibilities

• Build and maintain scalable data models using DBT.
• Develop modular SQL using Jinja templating and follow DBT best practices.
• Implement DBT testing strategies and data quality checks.
• Work extensively with Snowflake for data warehousing and analytics.
• Design dimensional, Star/Snowflake, and Data Vault models.
• Perform query optimization and Snowflake performance tuning.
• Implement role-based access and security controls.
• Work with Kafka or similar event-streaming technologies for real-time data ingestion.
• Use SnapLogic for ETL/ELT workflow design, orchestration, and monitoring.
• Manage code using Git and GitHub.
• Implement CI/CD using GitHub Actions for DBT testing, deployment, and documentation.
• Maintain data validation, lineage, and governance processes.
• Create and maintain documentation using DBT Docs.
• Collaborate with business and technical stakeholders to understand data requirements.

Requirements

• 4–8 years of relevant experience as an Analytics Engineer or Data Engineer.
• Minimum 4 years of experience specifically as an Analytics Engineer.
• Strong hands-on expertise in DBT, Snowflake, and SQL.
• Experience building scalable and maintainable data models.
• Strong problem-solving and analytical skills.
• Excellent verbal and written communication skills.
• Ability to explain complex data concepts to non-technical stakeholders.

Skills

• DBT
• Snowflake
• SQL
• Python
• Git