Business Intelligence Senior Data Engineer
About the position Responsibilities • Analysis, design, development, implementation and maintenance of Enterprise Data Warehouse (EDW), and operational reporting and analysis tools • Play a key role in AI solutions such as Machine Learning (ML), Optical Character Recognition (OCR) and Large Language Model (LLM) technology implementations • Provide business partners with visibility into the data and information needed to make key business decisions, and to increase operational efficiencies • Conduct requirements analysis and solution design for business intelligence reporting and data delivery to end users • Data analysis and mapping • ETL and reporting solution development • Code reviews and coaching on best practices for AI tools evaluations, POCs, solution design, development, and implementations • Dev Ops responsibilities for source controls and code deployments • Adherence to IMG standards and development best practices • Review and revise queries for performance issues • Share support responsibilities for the Production BI Reporting Environment • Represent the BI development team at change control meetings and ensure that all scheduled releases have gone through an adequate test process and deployment instructions are clear and accurate • Communicate regularly with team members to escalate issues, report status of requests, and identify opportunities for improvements • Help create ad-hoc queries and provide data as requested, with a goal of transitioning to self-serve • Assist the team with the development of a Data Dictionary • Work with business partners on data analytics to help identify key opportunities • Coach and mentor teammates Requirements • Requires a Bachelor’s in Computer Science, Engineering, Management Information Systems (MIS), Mathematics, Business, or a related field plus six (6) years of experience as a Business Intelligence Engineer, or a related occupation involving experience in business intelligence. • Four (4) years in the following: • - Delivering business intelligence or data warehousing solutions • - Developing reporting and analysis solutions using MS tools, SSRS, SSAS, PowerPivot, PerformancePoint, Power BI, or Excel, on a SQL Server platform • - ETL design, development, and support using SSIS • Two (2) years in the following: • - Designing and building enterprise data and BI solutions including dimensional data marts or star schema data modeling and design • - Developing Machine Learning (ML) solutions using tools such as Python or similar • - Developing Large Language Model (LLM) solutions using tools such as AWS Bedrock, Claude, or similar • - Working with OCR technology implementations. Apply tot his job