Data Engineer
Core
Design, build, and maintain scalable data pipelines and platforms to enable data-driven decision-making for analytics and business teams.
Role type
Senior Data Engineer (Azure/Databricks)
Builds
End-to-end data pipelines, scalable data models, and standardized data structures for journey analytics.
Domain
Cloud Data Engineering (Azure, Databricks)
Deliverable
production ML models | product features
Required skills
Azure Databricks, PySpark, SQL, DBT, Medallion Architecture, legacy code refactoring, modular component design, data quality assurance
Preferred skills
GitHub version control workflows, cross-functional collaboration, independent ownership of initiatives
Technologies
Azure, Databricks, Apache Spark, PySpark, DBT, GitHub
Responsibilities
Design and optimize end-to-end data pipelines; refactor legacy code for maintenance and reuse; build modular, reusable code components; consolidate KPIs and metrics into standardized data structures; build scalable data models for analytics; ensure data quality and performance across pipelines.
Seniority
Senior, hands-on IC