Description

Key Responsibilities:

Design and implement scalable data models and pipelines aligned with business requirements.

Develop complex DBT models using macros, packages, and custom materializations.

Translate business requirements into effective technical data solutions.

Identify and resolve performance bottlenecks in Snowflake queries and DBT models.

Optimize Snowflake warehouse configurations and query performance.

Design and implement data quality frameworks and testing strategies.

Develop reusable DBT packages and macros for team-wide use.

Manage CI/CD pipelines for DBT deployments.

Review and approve pull requests from junior developers.

Troubleshoot production issues and implement long-term solutions.

Document architectural decisions and data lineage.

Collaborate with business, product, QA, and technical teams to ensure successful delivery.

Required Skills & Qualifications:

Strong SQL expertise, including CTEs, complex joins, analytic functions, and window functions.

Hands-on experience with DBT, including advanced features such as macros, packages, and custom materializations.

Real-world experience with Snowflake and warehouse optimization.

Python experience, preferably at an intermediate level or higher.

Strong data profiling skills, including identifying primary and unique keys, cardinality, data types, precision, scale, and data skew.

Experience with data quality testing and validation.

Understanding of CI/CD pipelines and DBT deployment processes.

Strong communication, problem-solving, and analytical skills.

Ability to take ownership, work independently, and proactively achieve project goals

Key Skills

Education

Any Gradute