Description

You will build and maintain data infrastructure to support data analysis and business operations.

Responsibilities

• Develop, maintain, and optimize data pipelines using DBT and SQL on Snowflake DB.
• Collaborate with data analysts, QA, and business teams to build scalable data models.
• Implement data transformations, testing, and documentation within the DBT framework.
• Execute data warehousing tasks in Snowflake, including ingestion, query optimization, and tuning.
• Use Python for automation, scripting, and supplemental data processing.

Required Skills

• 8+ years of experience in building data engineering pipelines.
• Expert-level proficiency in DBT and advanced SQL.
• Hands-on experience with modern columnar/MPP data warehouses, specifically Snowflake.
• Strong understanding of ETL/ELT processes and data modeling concepts.
• Proficiency in Python for data manipulation and workflow automation.
• Experience with CI/CD for data pipelines.
• Familiarity with automation principles.
• Knowledge of AWS, Azure, or GCP.

Preferred Skills

• Experience with orchestration tools like Airflow or Prefect.
• Knowledge of data governance and metadata management.

Key Skills

Education

Any Gradute