Description

You will lead the design and maintenance of data transformation pipelines to support analytics and data science initiatives.

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.
• Optimize Snowflake performance through query tuning, clustering, and resource management.
• Ensure data quality and integrity through testing, documentation, and monitoring.
• Maintain and enhance CI/CD pipelines for DBT projects.

Required Skills

• 3+ years of experience in data engineering or a related field.
• Strong hands-on experience with DBT, including modular SQL development, testing, and documentation.
• Proficiency in Snowflake data warehousing, performance tuning, and security.
• Advanced knowledge of PL/SQL, including stored procedures, functions, and packages.
• Solid understanding of data modeling concepts such as star/snowflake schemas and normalization.
• Experience with version control systems like Git and CI/CD practices.
• Bachelor's degree in any field.

Preferred Skills

• Familiarity with orchestration tools such as Airflow, dbt Cloud, or Prefect.

Key Skills

Education

Any Gradute