We are looking for a skilled Business Intelligence (BI) Engineer to join our team in Jenkintown, Pennsylvania. As a key contributor, you will design, develop, and implement advanced data solutions to support business analytics and decision-making processes. This role requires a strong technical background and a collaborative mindset to drive innovation and optimize data platforms.<br><br>Responsibilities:<br>• Design and implement dimensional and semantic data models to enhance business analytics and reporting capabilities.<br>• Develop and optimize data pipelines using modern orchestration tools like Apache Airflow or Azure Data Factory.<br>• Create and manage interactive dashboards and visualizations using Power BI, ensuring accuracy and usability.<br>• Leverage Microsoft Fabric architecture to integrate centralized semantic models and external data platforms.<br>• Administer cloud-based data warehouses like Azure Synapse or Snowflake, ensuring performance and scalability.<br>• Collaborate with cross-functional teams to address data governance, quality frameworks, and compliance standards.<br>• Utilize Python and data science libraries to process, analyze, and develop machine learning workflows.<br>• Implement DataOps methodologies, including CI/CD practices and version control for data solutions.<br>• Conduct advanced statistical analysis and predictive modeling to inform business strategies.<br>• Partner with stakeholders to translate technical concepts into actionable insights for diverse audiences.

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.<br>• Minimum of 3 years’ experience in data engineering, data warehousing, or business intelligence development.<br>• Proficiency in Power BI, including dashboard creation and administration.<br>• Strong expertise in SQL for query development, optimization, and data transformation.<br>• Hands-on experience with cloud data platforms such as Azure Synapse or Snowflake.<br>• Familiarity with data pipeline tools like Apache Airflow, dbt, or Azure Data Factory.<br>• Knowledge of data warehousing concepts, including medallion architecture and dimensional modeling.<br>• Programming skills in Python for data processing and machine learning applications.

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