Senior Data Engineer
Core
Design and develop scalable, high-performance data platforms and pipelines for real-time and secure data operations.
Role type
Senior Data Engineer
Builds
Scalable data pipelines, data lakehouse and data warehouse solutions on Databricks/Microsoft Fabric
Domain
Cloud data engineering, data warehousing, data architecture
Deliverable
production ML models | product features | infrastructure
Required skills
PySpark, SQL, Azure Data Factory, Databricks, Microsoft Fabric, data orchestration, CI/CD, infrastructure-as-code, data modeling, data governance
Preferred skills
Power BI, semantic model development
Technologies
Databricks, Microsoft Fabric, Azure Data Factory, Synapse Analytics, Delta Lake, Azure DevOps, GitHub Actions
Responsibilities
Design, build, and optimize scalable data pipelines; Develop ETL/ELT workflows; Architect and implement data Lakehouse and data warehouse solutions; Leverage CI/CD practices and IaC to deploy and maintain pipelines; Monitor and troubleshoot data pipelines; Enforce data governance, security, and compliance best practices
Seniority
Senior, hands-on IC