Description

Build and maintain ELT data pipelines using dbt and Snowflake to support analytics and reporting.

Responsibilities

• Develop and optimize data models in Snowflake, ensuring clean, structured datasets for downstream users.
• Implement data quality checks, testing, and documentation within dbt.
• Integrate multiple data sources including APIs, internal systems, and third-party tools.
• Monitor pipeline performance and proactively resolve issues to ensure reliability.
• Collaborate with stakeholders to translate business requirements into technical data solutions.

Required Skills

• 2–5 years of experience in Data Engineering or Analytics Engineering.
• Strong hands-on experience with dbt and Snowflake.
• Advanced SQL skills, including query optimization and complex transformations.
• Proficiency in Python for data processing tasks.
• Experience with data modeling concepts such as fact/dimension tables and staging layers.
• Understanding of modern data stack architectures.

Preferred Skills

• Experience with orchestration tools like Airflow or Prefect.
• Familiarity with e-commerce, pricing, or operational datasets.
• Experience in startup or high-growth environments.

Key Skills

Education

Any Gradute