Description

You will build and maintain data pipelines using modern cloud data warehousing techniques.

Responsibilities

• Develop and optimize data ETL/ELT processes using Snowflake.
• Manage and orchestrate data workflows using workflow management tools.
• Design and implement scalable data models and data warehouse structures.
• Monitor and tune database performance to ensure data integrity and speed.

Required Skills

• 5+ years of experience in data engineering.
• Strong expertise with Snowflake (including Snowpipe, Streams & Tasks).
• Proficiency in Python and advanced SQL.
• Hands-on experience with ETL/ELT tools such as Apache Airflow or dbt.
• Familiarity with cloud platforms: AWS, Azure, or GCP.
• Solid understanding of data modeling and data warehousing concepts.
• Experience using version control (GitHub or Bitbucket) and Jira.
• Bachelor's degree in Computer Science or related field.

Key Skills

Education

Bachelor's degree