In the gaming industry, professional development isn’t optional — it’s essential. That’s according to Product Manager Brunda Yadavelly. At mobile game development company SciPlay, she and her fellow product managers must stay up to date on the industry’s latest advancements and build up their technical knowledge in order to deliver top-quality products. “With gaming trends and tools constantly changing, it’s important to consistently develop my skills,” Yadavelly said. Upskilling employees isn’t just crucial for their engagement and happiness; it’s also a smart business decision. After all, SciPlay wants to do more than build games that work. They want players to stay engaged and keep coming back for more.
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Gaming • Marketing Tech • Mobile • Software • App development
Build and productionize applied machine learning models using game, player, and operational data. Responsibilities include problem formulation, data preparation, feature engineering, model evaluation, forecasting, classification, segmentation, anomaly detection, deployment, monitoring, and documentation. The role partners with product and business teams to connect model performance to outcomes and applies LLM and agent capabilities where useful.
Gaming • Marketing Tech • Mobile • Software • App development
Develop and maintain ETL pipelines, Snowflake data models, and Tableau dashboards for gaming analytics. Translate business requirements into technical specifications, monitor data quality, optimize workloads, administer BI platforms, and support Airflow orchestration and infrastructure monitoring. Collaborate with product analysts, marketing, data science, finance, and game teams. Use AI coding tools responsibly while validating generated SQL and pipeline code.
Gaming • Marketing Tech • Mobile • Software • App development
Own end-to-end BI development, including ETL pipelines, Snowflake data models, Tableau dashboards, Airflow orchestration, and data integrity monitoring. Administer Snowflake roles, privileges, Tableau Server, and production workflows. Translate stakeholder needs into technical solutions, optimize pipelines, participate in on-call support, review code, mentor developers, and build verified AI workflows using Snowflake Cortex Agents and Semantic Views.
