The Data Engineering department is responsible for the full-stack design and development of the company's central data & ML services and business platforms. The department is responsible for the overall projects, design, architecture, and development of huge scale and very challenging cloud-based Big Data, machine learning, and business applicative platforms for ensuring excellence in the performance of business aspects including games & product design, marketing, retention, monetization, etc. Department solutions support the optimization of the company's overall business performance.
We are looking for senior system analyst who is ready to make the jump to the product management world
Leading quality assurance activities in our Big Data, BI, and analytics platforms.
Testing complex functionality of our data analytics and BI platform (ETL layer, complex data manipulation, and data retrieval over a huge amount of data, complex data models, complex source to target data manipulation, data visualization tools)
End-to-end functional and non-functional testing, planning, and execution (including installation, monitoring, performance, stress, stability, etc.)
Games data integration testing (games features data modeling, source to target data manipulation)
Testing functionality of our back-office applicative systems (for example CRM, campaign management, fraud management, VIP management) - optional
Scripts writing and automatic execution of tests - optional
5+ years QA experience in testing big data analytics and BI systems.
Experienced in the leading end to end quality assurance activities (end to end test planning and execution, bug management)
Experienced in planning and execution non-functional test planning (load, performance, stability, stress testing)
Experienced with SQL and databases (relational databases – must have; NoSQL databases – an advantage)
Experience in big data environments and technologies
Experience in testing of games products or games data - an advantage
Experience in automation testing – an advantage
Relevant academic degree (Computer Science / Industrial Engineering / Information System).
NoSQL databases – an advantage)
Experience in big data environments and technologies
Experience in testing of games products or games data - an advantage
Experience in automation testing – an advantage
Relevant academic degree (Computer Science / Industrial Engineering / Information System).
Your wellbeing: Flexible, hybrid work experience with talented professionals. Also, high work life balance derived from our people-oriented approach
Your health: top notch health insurance to employees and immediate family. Furthermore, gym membership or a variety or workout options.
Your future: personal and professional tools to assist with your development and journey.
Your contribution: A variety of social and charitable initiatives, that we take pride in.
And if that wasn't enough a fully and over the top stocked kitchen that will make any supermarket envious……
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