Description

You will design data structures and build scalable pipelines to support core product needs.

This role is on-site.

Responsibilities

• Design data structures and architectures aligned with specific product requirements.
• Build, schedule, and optimize data transformation pipelines.
• Automate the full lifecycle of data sets, including schema development, iteration, and deprecation.
• Implement data observability tooling to track lineage, sources, and transformations.
• Collaborate with the team to develop, test, deploy, and operate scalable software.

Required Skills

• 3+ years of experience in data engineering or an equivalent role.
• Proficiency in Python.
• Strong expertise in Data Modeling and Architecture.
• Hands-on experience with Snowflake and Data Warehousing.
• Experience building and optimizing Data Pipelines.
• Knowledge of Data Structures and Cloud Infrastructure.
• Ability to define and implement data quality assurance processes.
• Experience in software development, testing, and deployment.
• Ability to work in the PST time zone (04:30 PM - 1:30 AM).

Preferred Skills

• Experience implementing data observability practices.

Key Skills

Education

Any Graduate