Description

You will design, develop, and maintain data solutions centered around Snowflake.

This role is hybrid.

Responsibilities

• Design and maintain data pipelines and ETL processes using Snowflake on AWS.
• Implement data warehousing solutions for efficient storage, retrieval, and transformation of large datasets.
• Collaborate with analysts and stakeholders to define and fulfill data requirements.
• Optimize performance and scalability of the Snowflake data warehouse to ensure high availability.
• Monitor, troubleshoot, and resolve data pipeline issues to maintain data quality.

Required Skills

• 5+ years of experience in data engineering with a strong focus on Snowflake and AWS.
• Proficiency in SQL and Python.
• Hands-on experience with ETL tools such as DBT.
• Experience with AWS services including S3, Lambda, Redshift, and Glue.
• Strong understanding of data warehousing concepts and data modeling.
• Experience with data migration to Snowflake.
• Familiarity with orchestration solutions like Airflow.

Preferred Skills

• Knowledge of Oracle RDBMS.

Key Skills

Education

Bachelor's degree