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Data Engineer

As a Data Engineer, you’ll be responsible for gathering and collecting data, storing it, doing batch processing or real-time processing on it, and serving it to the stakeholder.

WHY JOIN THE BUSINESS INTELLIGENCE PLATFORM TEAM?

• We are a passionate and positive team that is always working on new data engineering technology and exciting projects including new game launches .
• We feel team members are most effective in working on what they are passionate about. We are all capable of working on any given project, and often shift tasks based on preference.
• We own the data platform, contributing to the design, implementation, and maintenance of these data services so we aren’t shy about experimenting with new tech. However, we take a measured approach in order to minimize introducing unnecessary technical debt.
• We collaborate with Analytics, Game Development, Platform and Publishing teams. Our data platform supports all kinds of data in an efficient environment that helps with analysis, customer care and company wide data-driven decisions.

WHAT YOU'LL DO

• Develop data processes for construction, mining, and modeling that are delivered to the technical and non-technical stakeholders
• Create large data warehouses by running some ETL (Extract, Transform and Load) that is used for analysis by technical and non-technical stakeholders
• Install continuous pipelines of huge pools of filtered information so that technical and non-technical stakeholders can pull relevant data sets for their analyses
• Apply software engineering best practices to analytics processes, automation, and establish best practices for data modeling/processing

WHAT YOU’LL NEED TO BE SUCCESSFUL

• BS in Computer Science or equivalent experience
• 3+ years of day-to-day working experience as data engineer or ETL developer
• Advanced SQL skills with with data warehouses (RedShift/Snowflake)
• Experience with data modeling and ETL/ELT (Airflow, Informatica)
• Experience applying software engineering principles (testing, version control, code reviews, etc.) to scale analytical development
• Strong communication with technical and non technical audiences

Due to COVID-19 we have temporarily transitioned to a work from home model, but anticipate returning to the office in the coming months on a hybrid basis.