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Data Engineer

Intralot·Canada·Toronto, Ontario, Canada·mid
pythonsqlsparkairflowdbtmldata engineering
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Bally’s Intralot is a newly formed company established through the combination of Intralot and Bally’s International Interactive, positioning the group as a top iGaming operator and a leading global provider of lottery solutions. Bally’s Intralot is uniquely positioned across digital online gaming markets, lottery, iLottery, and sports betting. Operating at the intersection of technology, regulation, and entertainment. We are optimally positioned to capitalize on strong global growth trends driven by digital adoption and regulatory expansion across lottery and iGaming markets. Well, what about the team? We’re seeking a passionate Data Engineer who is experienced in data engineering and has a solid understanding of data warehousing, cloud-based solutions, and data pipeline development. You'll be working alongside talented Data Engineers, Data Architects, and Machine Learning Engineers 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 Engineering 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 our cloud data environments. So, what will you be doing? Collaborate with other Data Product Owners, Engineers, and stakeholders to design and implement scalable data solutions. Develop and optimize data pipelines for data lakehouse and inbound/outbound integrations. Utilize Python and SQL for data analysis, backend development, and data manipulation. Apply modern data frameworks such as Spark, DBT and Airflow for building robust data pipelines. Troubleshoot and resolve issues with our data platform, ensuring high availability and reliability. Participate in an agile work environment, maintaining open communication and continuous improvement. And what are we looking for? Strong SQL & Dat

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