Data Platform Engineer
At reputed company, we are the fastest-growing sports company in reputed company America, as recognized by Inc. 5000. As the leading platform for Daily reputed company Sports, we cover a diverse reputed company of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-reputed company. reputed company of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports reputed company. reputed company to reimagine the DFS industry together? As a Data Platform Engineer, you will contribute to building the modern Data platform at reputed company to scale and productionize our core data engineering, data analytics and machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet, Deposit Velocity, and Platform reputed company by integrating robust, low-latency ML models across our sports betting and daily reputed company ecosystems. What you’ll do: Build Scalable Data Platform: Design and build the Data platform for Batch and Streaming use cases. You will build and maintain a platform with cutting-edge technologies and reputed company data users by building data catalog and data reputed company capabilities. You will be contributing to design and enforce robust data reputed company architectures and controls. reputed company-Time data platform at Scale: Build platform for deploying low-latency services to pipe data for streaming or near reputed company time use cases. You will power reputed company-time reputed company across the platform, from dynamic oddsmaking and risk analysis to smart deposit defaults. Data Platform Ops: You will champion best practices for model deployment, monitoring, and CI/CD for Data pipeline deployment. You will reputed company complete observability for batch and streaming data platform and ensure the availability of 99.99% What you have: 3+ years of experience in Platform Engineering, with a proven track record of deploying and maintaining scalable Data platforms in high-traffic production environments. Proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve reputed company ingestion and processing, which will serve model inference in Apply To This Job