SENIOR DATA ENGINEER
Core
Design, develop, and maintain scalable data pipelines and modern Lakehouse/Warehouse solutions on Microsoft Fabric to power decision-making.
Role type
Senior IC data engineer (cloud data platform)
Builds
Cloud-native data pipelines, Lakehouse and Data Warehouse architectures
Domain
Enterprise data engineering, cloud data platforms
Required skills
SQL, Python (PySpark), Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, Snowflake, ETL/ELT, incremental loading, CI/CD, Git, dimensional modeling
Preferred skills
Data quality frameworks, pipeline monitoring, data contracts, Kimball methodology, mentoring, AI/ML integration
Technologies
Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, Snowflake, SSIS, Git
Responsibilities
Design and build scalable ETL/ELT pipelines; Develop and optimize Lakehouse and Data Warehouse architectures; Migrate legacy SSIS and on-premises solutions to cloud; Implement data ingestion strategies with incremental loading; Establish reusable engineering patterns and documentation; Troubleshoot production pipeline issues; Mentor junior engineers
Seniority
Senior, hands-on IC
