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BALLY’S INTRALOT SA

BI Developer

Little Rock , Arkansas, United States · Remote · fulltime_permanent · Technology

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About the role

ETLDatabricksTableauCompliance
Bally's Intralot supplies integrated gaming and transaction processing systems, innovative game content, and value-added services to state-licensed gaming organizations. Drawing on extensive know-how, advanced product development standards, and substantial experience operating lottery games, the company delivers custom-built integrated solutions that combine operational efficiency with rigorous security and regulatory compliance. Our games library includes more than 400 game types: numerical lotteries, TV lottery games, sports lotteries, fixed odds betting, instant lotteries, pari-mutuel, video lottery, and monitor games. So, what will you be doing? - Design, build, and maintain scalable data pipelines and data integration processes to support business intelligence, analytics, and reporting initiatives - Develop and optimize ETL/ELT workflows and data transformation pipelines using modern data platforms including Databricks and cloud-based data services - Design, implement, and maintain data models and curated data layers to support business intelligence tools such as Tableau - Ingest, integrate, and manage data from multiple sources including internal systems, external vendors, APIs, and structured and unstructured data within a Data Lake architecture - Support the development and maintenance of enterprise data platforms including data warehouses, data lakes, and analytics environments - Collaborate with BI analysts, data scientists, developers, and business stakeholders to understand data requirements and deliver scalable data solutions - Develop and maintain datasets and data services that enable reporting, dashboards, and advanced analytics - Monitor data pipelines, troubleshoot performance issues, and implement improvements to ensure reliability, scalability, and data quality - Implement data governance, data validation, and data quality controls to ensure accuracy and consistency of enterprise data - Utilize internal and external AI tools to support data exploration, automation, and advanced analytics capabilities - Document data architecture, data flows, standards, and processes to support maintainability, governance, and knowledge sharing - Support deployment and operations of data solutions in cloud environments - Other duties as assigned