Data Engineer
Core
Design, implement, and scale a modern data platform to enable analytics, BI, and AI use cases across the organization.
Role type
Data Engineer
Builds
Reliable data pipelines, enterprise data foundation, and trusted datasets for analysts and product teams.
Domain
Enterprise data engineering, cloud data ecosystems, and business intelligence.
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data pipeline development, SQL, data modeling, Python, cloud data ecosystems (Azure/AWS/GCP), distributed data processing, CI/CD, version control.
Preferred skills
Modern data stack components, data workflow optimization, engineering standards definition, cross-functional collaboration.
Technologies
Databricks, SQL, Python, Azure, AWS, GCP
Responsibilities
Build and maintain reliable data pipelines; contribute to architecture and modeling of the enterprise data foundation; develop high-quality transformation logic; enable company-wide BI by delivering performant datasets; optimize data workflows for scale and cost efficiency; define engineering standards and best practices.
Seniority
Mid-level, hands-on IC
