Data Engineer in Data Product Engineering
Core
Build reliable, well-governed, and scalable data products used across Finance, HR, Product, and Subscription domains.
Role type
Data Engineer (Data Product Engineering)
Builds
Data products, robust data models, and reliable pipelines in Snowflake, dbt, and Airflow.
Domain
Media & Publishing / Data Engineering
Deliverable
production ML models | product features
Required skills
SQL, Python, data modeling, data warehousing, dbt, Airflow, Snowflake, AWS, Terraform, Git, CI/CD, testing, documentation, observability
Preferred skills
Object-oriented design, pragmatic technical decision-making, stakeholder collaboration
Technologies
Snowflake, dbt, Airflow, AWS, Terraform, Git, Python
Responsibilities
Design and maintain reliable data pipelines and transformations; develop scalable data models for analytics and AI; improve engineering quality through testing and monitoring; collaborate with stakeholders to translate business needs into data solutions; contribute to architectural decisions and code reviews.
Seniority
Mid-Senior, hands-on IC