Data Engineer
Core
Build and maintain data pipelines powering AI transformation, analytics, and enterprise reporting.
Role type
Data Engineer (AI Development)
Builds
Scalable ETL/ELT processes, data lakehouse, datasets for AI agents and analytics
Domain
Technology services, Cloud, AI, Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
ETL/ELT development, Databricks, GCP, Azure, data quality monitoring, data governance, data modeling, cloud storage/compute
Preferred skills
MCP, Feature Store, Power BI
Technologies
Databricks, GCP, Azure, Power BI
Responsibilities
Build and maintain scalable ETL/ELT processes and data pipelines; Support maintenance and optimization of Databricks-based data lakehouse; Implement data quality checks and monitoring; Partner with AI developers to prepare datasets for AI use cases; Utilize Databricks platform (MCP, Feature Store) for ML model preparation; Support data governance, lineage, and security; Work with native cloud services on Azure and GCP; Assist in modeling datasets for Power BI reporting.
Seniority
Individual Contributor
