. The selected candidate will design, develop, and maintain data transformation pipelines supporting business intelligence, analytics, and data-science initiatives across the enterprise.
Key Responsibilities
Design and implement scalable data models and transformation pipelines using DBT on Snowflake.
Write efficient PL/SQL code for complex data processing and transformation tasks.
Collaborate with data analysts, data scientists, and business stakeholders to translate requirements into robust data solutions.
Optimize Snowflake performance through query tuning, clustering, and resource management.
Ensure data quality, integrity, and governance through testing, documentation, and monitoring.
Participate in code reviews and architecture discussions to improve data engineering best practices.
Maintain and enhance CI/CD pipelines for DBT projects.