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Scopely is the leading mobile entertainment network, and our tools have played a critical part in changing how the future of mobile games will be produced and distributed. With over 100M+ users across seven #1 mobile games, a career at Scopely offers countless way to have a huge impact on a small and collaborative team of engineers. Our team at Scopely is building systems to support millions of players in dozens of top mobile games, helping us understand how to improve each title and the in-game experience of each player. We enjoy challenging work, but try to find simple solutions. When you join our growing team, you can expect to own your work from ideation and product definition through production deployment and continued feature maturation. We're looking for people who take pride in their work and in seeing it impact real people.
What you will do as a Business Intelligence Engineer on our Publishing Platform
. Build and evolve a data warehouse critical to driving business insights across a growing portfolio of successful mobile games.
. Develop architectural components of the data warehouse: modeling strategy, ETL pipeline, aggregation, and BI delivery/visualization.
. Work on collaborative design sessions, champion best practices.
. Develop scalable ETL and processes to produce a robust and business-ready model for producing high-quality dashboards and insights.
. Maintain the integrity of the data warehouse by implementing appropriate controls and procedures.
. Collaborate with engineers, product teams, and analysts to produce scalable analytical models from business requirements.
What you will need to be successful and enjoy this role!
. Experience of data warehouse modeling techniques such as Kimball dimensional modeling (star schema)
. Proven track record successfully building and evolving robust data warehousing systems
. 1-3 years of experience with ETL and ability to construct, troubleshoot, and profile complex queries (Airflow is a plus)
. 1-3 years of experience with Business Intelligence software (Tableau, Looker are a plus)
. Exposure to Hadoop-based ETL and big data technologies: Spark, S3, Hive, Impala, HDFS, etc. is a plus
. Competency working in a Linux OS environment and utilizing common command-line tools (github/cvs experience is a plus)
. Programming or scripting experience (python is a plus)
. Experience with accurate and performant SQL
. Will to learn and team work
. Positive attitude
. Table tennis skills (Mario Kart is a plus)
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