Data Engineer
Core
Own the full lifecycle of data points from raw backend events to executive dashboards, ensuring data is findable, well-defined, and trustworthy for business leaders.
Role type
Senior Analytics/Data Engineer (Data Modeling & Products)
Builds
Data marts, semantic layers, and durable data products for self-service and agentic analytics.
Domain
Telecom / Business Intelligence
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Advanced SQL, dbt (incremental models, snapshots, tests, macros), BigQuery (partitioning, clustering, cost controls), Dimensional modeling, Python for tooling, CDC concepts
Preferred skills
Experience with Fivetran, semantic layers (Cube, MetricFlow), AI/LLM integration in analytics, Light web app development
Technologies
dbt, BigQuery, Python, Fivetran, Cube, MetricFlow
Responsibilities
Own the dbt project transforming raw data into staged, modeled, and tested tables; Design and evolve data marts encoding business logic; Operate CDC pipelines and manage BigQuery cost/performance; Build and maintain the semantic layer for self-service analytics; Partner with stakeholders to turn questions into durable data products.
Seniority
Senior, hands-on IC with strategic modeling focus