Middle Data Engineer
Core
Build and scale reliable ETL/ELT processes for collecting and processing user activity data, design cloud data storage and analytical architectures, and ensure high availability, accuracy, and security of data processing.
Role type
Middle Data Engineer
Builds
Data pipelines, cloud data warehouses, and analytical architectures for user activity data
Domain
EdTech, Mental health, Petcare, FashionTech, and other consumer businesses
Deliverable
production ML models
Required skills
Python, SQL, ETL/ELT orchestration, cloud platforms (GCP, AWS, Azure), data warehousing (dimensional modeling, partitioning, clustering, cost control)
Preferred skills
Data Analyst background, Python Engineer experience outside data context
Technologies
BigQuery, Airflow, Dataform
Responsibilities
Build and scale ETL/ELT processes for user activity data, design cloud data storage and analytical architectures, ensure data quality and observability, collaborate with analytics and backend teams to transform raw data into product metrics
Seniority
Middle, hands-on IC
