Business Intelligence /Data Engineer

Overview In this role, you will design and maintain data-driven, cloud-enabled environments to support decision-making across the organization. You’ll work with AI/ML services and integrate APIs in AWS/Azure to deliver scalable data platforms. You will develop and manage a data warehouse and use insight tools to empower business partners. You will model data for risk, valuation, and performance insights, and craft clear visualizations and technical docs for non-technical stakeholders. This position sits at the intersection of data engineering and business intelligence, offering impact through scalable, data-driven solutions. ResponsibilitiesAnalyze complex data structures from heterogeneous sourcesDesign and implement cloud-enabled data-driven systemsDevelop and maintain data warehouse and data lake architecturesIntegrate AI/ML services and APIs in cloud environments (AWS/Azure)Create data models for risk measurement, financial valuation, and performance analysisDevelop data visualizations and prepare technical and non-technical communicationsCraft SQL scripts, procedures, and build real-time data productsCollaborate with business partners to translate requirements into analytics solutionsDocument architectures and data flows for governance and maintenance Key requirementsBachelor in Computer Science or related engineering fieldMinimum 3 years in data engineering, data warehouse, and reportingExperience in data modeling, SQL, ETL, data warehousing, and data lakesExperience with real-time data products and analyticsProficient in SQL scripts, functions, stored procedures, and enterprise RDBMSExperience with BI tools such as MicroStrategy, Tableau, PentahoProficiency in scripting languages: Python, Perl, R, or JavaScriptStrong knowledge of AWS products and servicesstrong communication with business partnersability to translate technical concepts for non-technical audiencescollaboration and cross-functional teamworkData modelingSQLETL