Big Data QA Engineer

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.

Responsibilities

• 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

What we expect

• 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).

Desired

• 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).

What we offer our Employees

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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