Data Engineer (ETL Specialist)
Core
Build and maintain a Databricks-based BI platform, developing ETL scripts and data models to support business intelligence deliveries across multiple countries.
Role type
Senior Data Engineer (ETL Specialist)
Builds
Databricks workspace, ETL pipelines, and BI data models
Domain
Security services industry, Data Engineering, Cloud Data Platform
Deliverable
production ML models | product features
Required skills
PySpark, Delta Lake, SQL, Azure Data Factory, Databricks Workflows, Data Modeling (Kimball, Data Vault), CI/CD, Data Quality Testing, Observability, Security Governance, API Integrations
Preferred skills
Power BI, DAX, GDPR compliance, Time-sensitive project experience, Cross-cultural collaboration
Technologies
Databricks, Azure Data Factory, Azure DevOps, Unity Catalog, Power BI
Responsibilities
Maintain and develop the Databricks workspace for BI solutions; Develop and implement new ETL scripts; Advise on data model changes; Implement orchestration with dependency management; Collaborate with Business Analysts and BI developers; Ensure data privacy and security compliance
Seniority
Senior, hands-on IC