Senior Analytics Engineer

Proficiency with data modeling, ELT design, and analytics engineering best practices.
Hands-on experience with Snowflake, dbt, and Fivetran in a production environment.
Working knowledge of Python and SQL, with the ability to write clean, well-documented code.
Familiarity with version control and collaborative development tools like Git and GitHub.
Understanding of data governance principles including access management and quality assurance.
Curiosity and the ability to break down ambiguous problems into structured, solvable components.
Strong collaboration and communication skills with both technical and non-technical peers.
Commitment to writing maintainable, scalable, and cost-efficient code and pipelines.

Design, build, and maintain scalable ELT pipelines using dbt, Fivetran, and cloud-native tools.
Develop clean, reusable data models and transform raw data into accessible, trusted datasets.
Participate in code reviews, testing, and performance tuning to ensure reliability and maintainability.
Implement and contribute to governance practices, including tagging frameworks, data quality checks, and access control standards.
Troubleshoot data pipeline and warehouse issues across development and production environments.
Document workflows, data definitions, and architecture to ensure clarity and knowledge sharing.
Stay up to date on modern data engineering practices and bring forward recommendations to improve the platform.