Lead Data Engineer
Core
Design, develop, and test data movement, transformation, and visualization processes to prepare data for decision-making using cloud technology.
Role type
Lead Data Engineer
Builds
Automated ingest and transformation patterns, data products, and complex data visualizations
Domain
Enterprise Analytics, Cloud Data Engineering
Required skills
ETL/ELT process development, Cloud data engineering, Data visualization design, Automated ingestion frameworks, Data transformation for analytics, Distributed computing (Spark), SQL Server, Azure Data Factory, Databricks, Power BI, DevOps
Preferred skills
Data Lake and Lakehouse experience, Azure Machine Learning, ArcGIS Enterprise, Graph Databases
Technologies
Azure, Databricks, SQL Server, Data Lake Storage, Power BI, Spark, Oracle, Ingres, Visual Studio, DevOps
Responsibilities
Design and maintain data ingest and transformation solutions, Create automated ingest and transformation patterns, Support data engineers through quality reviews and feedback, Analyze complex data sets to identify trends, Design principles for appropriate visualizations
Seniority
Senior, hands-on IC with leadership responsibilities