Description

You will build and maintain scalable data pipelines for batch and streaming ingestion and transformation.

Responsibilities

• Build scalable data pipelines for ingestion and transformation from multiple sources using SQL, AWS, and Snowflake.
• Create low-level design artifacts, including mapping specifications.
• Develop unit and integration tests and implement automated build and deployment processes.
• Deploy, monitor, and maintain production systems.
• Collaborate with product owners, architects, and analysts to create and update user stories in the backlog.

Required Skills

• 5+ years of data engineering experience.
• Minimum 2 years of hands-on ETL development experience using DBT.
• Minimum 2 years of hands-on experience with SQL and Snowflake.
• Minimum 1 year of hands-on experience using Git and Python.
• Proficiency with AWS and Snowflake.
• Experience working in Agile Scrum environments.
• BS Degree in IT, Computer Science, or Engineering.

Key Skills

Education

Any Gradute