Senior Data Engineer
Core
Building and scaling reliable ETL/ELT processes for user activity data, designing cloud data storage and analytical architectures, and ensuring high data quality and observability.
Role type
Senior Data Engineer
Builds
Data pipelines, cloud data warehouses, and analytical architectures for consumer businesses in EdTech, Mental health, Petcare, and FashionTech.
Domain
Data Engineering / Cloud Infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, ETL/ELT orchestration, cloud platforms, data warehousing
Preferred skills
Data Analyst background, Python Engineer experience outside data context
Technologies
BigQuery, Airflow, Dataform, GCP, AWS, Azure
Responsibilities
Build and scale ETL/ELT processes for user activity data; Design cloud data storage and analytical architectures; Ensure data quality, availability, and security; Collaborate with analytics and backend teams to transform raw data into actionable insights.
Seniority
Senior, hands-on IC
