Data Engineer, Guidehouse

• B.S./B.A. in Computer Science, Information Systems, or similar computational discipline
• 3+ years of relevant professional experience as a data engineer using Microsoft/Azure technologies
• Experience developing complex ETLs with Azure Data Factory and SSIS against structured, semi-structured, and unstructured data sets
• Experience developing SQL relational databases and optimizing complex queries
• Experience developing semantic data models, data cleansing, and segmentation techniques
• Understanding of relational databases, columnar data warehouses, data lakes, and other storage types
• Excellent analytical and problem-solving skills
• Good written and verbal communication skills
• Ability to work independently as well as collaborate within a team environment

Desirable

• You will be joining a collaborative IT development team as we bring together Guidehouse's data to address our internal clients’ business needs
• Will apply your knowledge to build and support enterprise solutions spanning ETL/ELT, process automation, data modeling, and BI reporting with Microsoft's data and BI technology stacks
• Develop, test, and maintain scalable ETL pipelines to ingest data from multiple disparate data sources
• Participate in development and maintenance of the corporate data warehouse
• Perform complex data queries and data analysis
• Understand internal needs and translate them to technical requirements