Responsibilities Design and implement scalable, integrated data warehouse models incorporating data from Business Central and other sources Develop and maintain data pipelines using Python, SQL, and modern ETL tools Lead smaller client engagements, including requirements gathering and solution delivery Collaborate with reporting specialists to ensure data models support business KPIs and visualization needs Define and document transformation logic, data mappings, and warehouse specifications, adhere to modeling standards and governance practices Support report development in Power BI and Jet Reports as needed Troubleshoot data quality issues and optimize performance of data models Use GitHub for version control, collaboration, and documentation of data engineering workflows Requirements 4+ years of experience in data engineering, BI development or related roles Experience with ERP data structures and warehouse modeling Proficiency in Python and SQL for data transformation and analysis Strong experience with Mage.AI, dbt, Microsoft SQL Server, Snowflake, or Microsoft Fabric Experience using GitHub for version control, collaboration, and workflow management Strong understanding of dimensional modeling and the Kimball methodology Experience with documentation, versioning, and data governance practices #J-18808-Ljbffr
