Data Developer

at  Ballys Interactive Toronto

WHO WE ARE

Bally’s Corporation is a global casino-entertainment company with a growing omni-channel presence. It currently owns and manages 15 casinos across 10 states, a golf course in New York, a horse racetrack in Colorado, and has access to OSB licenses in 18 states. It also owns Bally’s Interactive International, formerly Gamesys Group, a leading, global, online gaming operator, Bally Bet, a first-in-class sports betting platform, and Bally Casino, a growing iCasino platform.
With 10,600 employees, the Company’s casino operations include approximately 15,300 slot machines, 580 table games and 3,800 hotel rooms. Upon completing the construction of a permanent casino facility in Chicago, Bally’s will own and/or manage 15 casinos across 10 states. Bally’s also has rights to developable land in Las Vegas post the closure of the Tropicana. Its shares trade on the New York Stock Exchange under the ticker symbol “BALY”.

WELL, WHAT ABOUT THE TEAM?

We’re seeking a passionate Data Developer who is experienced in data development and has a solid understanding of data warehousing, cloud-based solutions, and data pipeline development. You’ll be working alongside talented Data Developers, Data Architects, and Machine Learning Developers in an agile environment, designing innovative solutions for our Data Platform while supporting and troubleshooting our existing data estate.
As a part of our dynamic Data team, you will help deliver core data components and develop a range of real-time data pipelines. You’ll work with large datasets and have the opportunity to apply cutting-edge Big Data technologies and methodologies across both cloud and on-premises data environments.

LOVE TO LEAD

by thinking differently, seeking innovation, and always looking for ways to raise our game.

• Collaborating with Data Product Owners, Developers, and stakeholders to design and implement scalable data solutions
• Developing and optimizing data pipelines for data warehousing and inbound/outbound integrations
• Utilizing Python and SQL for data analysis, backend development, and data manipulation
• Applying modern data frameworks such as Spark, Beam, and Airflow for building robust data pipelines
• Troubleshooting and resolving issues with the data platform to ensure high availability and reliability
• Participating in an agile work environment, maintaining open communication and continuous improvement