Databricks Data Engineer
Core
Design, build, and evolve data solutions on on-premise and cloud-based platforms, focusing on data ingestion and pipeline support.
Role type
Intermediate Data Engineer
Builds
Data pipelines, data integration, and ETL processes
Domain
Financial services / Data Engineering
Deliverable
production ML models | product features
Required skills
Data pipeline design, Data ingestion, ETL processes, Azure, Azure Data Factory, Azure Databricks, Python, PySpark, SQL, SparkSQL, Data management, Data storage solutions
Preferred skills
Azure ecosystem, Databricks, Microsoft Fabric
Technologies
Azure, Azure Data Factory, Azure Databricks, SQL Server Database, Azure Data Lake Storage
Responsibilities
Design data engineering solutions, Implement data ingestion pipelines, Support on-premise and cloud-based data platforms, Develop ETL processes, Collaborate on AI and machine learning initiatives
Seniority
Intermediate, hands-on IC