Supervisory Responsibilities • N/A Required Education (certifications, licenses) • Bachelors degree and / or approximately 10+ years of related work experience; or a graduate degree and approximately 10+ years of related work experienceRequired knowledge, skill and abilities • Has working knowledge or Oracle database technology and supporting applications• Preferably 10+ years of BI Business/Data Analysis development experience• Expert experience with PL/SQL programming• Preferably 10+ years of Oracle ODI ETL/ELT, • Preferbly 10+ years with Cloud Data Infrastructure, ETL, Data Pipelines, Data Lakes, Data Warehousing, Event and Streaming Data Workflows, Modern Database Technologies Developing data ingestion, Data processing and Analytical Pipelines for big data, relational and graph databases, data warehouse and analytics solutionsAzure Data Factory Pipeline (or similar) experience• Extensive hands-on experience implementing data migration, data processing and analytics using Azure services.• Extensive experience leveraging the following technologies: Azure Datalake, MS Fabric, Azure Data Factory, Synapse/DW, Azure SQL DB, Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, Purview Data Catalog, ML Studio, AI/ML, Databricks, Delta Lake, Azure Cosmos DB, NoSQL, SQL, Python, Spark, Power BI, Tableau, Azure Events, Azure Apps• Experience with Azure Devops and CI/CD tools and deployments within an Azure environment (Jenkins, Git, Azure etc.) • Experience working within Agile development methodologies and DevOps development lifecyclesPhysical demands, environment and schedule • Normal work environment • Travel - 15% Posting Requirements • We accept online applications through our career site at jobs.spireenergy.com Duties and Responsibilities • Implement and maintain business intelligence and analytics tools (OBIEE, Tableau, Alteryx, PowerBI)• Develop, deploy, and maintain financial and operational analytics, BI reports and dashboards• Perform detailed analysis, design, and development of the logical and physical data models for data storage and warehousing • Work with business users to translate functional requirements into technical specifications for Analytical and Report development• Collaborate with Advanced Analytics team to help architect and develop, operational datastores, data marts and extracts used in Tableau and PowerBI visualizations based on functional requirements from various business units• Identify data requirements and understand data models from Spire Enterprise Applications• Build ELT processes to deliver data from source applications to target warehouse environments through Oracle Data Integrator interfaces and Azure Data Pipelines• Analyze performance statistics and performs required tuning activities in conjunction with system, software, and data applications, Data Stewards, and other ITS teams, to understand functionality, scalability, performance, security, and integration requirements for translation into a functional system.•