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(Closed) Senior Data Visualization Engineer - Gaming

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πŸ‡¨πŸ‡³ Shanghai

Are you interested in solving the most complex data science problems for gaming platforms? As a data analyst in gaming platform team, you would help us understand and drill down into gaming session experience using data. You will work closely with our leadership team, internal partners and engineering, providing them insight and data that enables effective business decisions. As a data visualization person, you would use the industry standard visualization tools to render actionable dashboards for engineering.

Our technology stack relies on industry standard open source components (Hadoop/Hive, Spark, ELK, Tableau, Cassandra, Avro, Kafka, Redis, PostgreSQL etc) and proprietary tools implemented in Python, Java/Spring, JavaScript/NodeJS. Modern frontend technologies such as AngularJS, Bootstrap are also widely used in our analysis projects. Are you a talented, visionary and ambitious engineer who can help us grow our solutions for the data analysis for millions of gamers from all over the world?

What you will be doing:

  • Visualize gaming data intuitively. Represent funnels, clickstream data. Visualizations needs to tell a story
  • Analyze gaming data to provide rich analysis on user behaviour, gaming issues, Quality of Service issues, customer life time value, cohort analysis
  • Develop frameworks for data ingestion and processing
  • You will act as a link, working within and coordinating between multiple distributed teams for end-to-end feature delivery. You will prepare documentation for the processes, policies, data formats, test cases and the expected results within the scope of your projects.

What we need to see:

  • Bachelor's Degree in Computer Science or statistics or related field
  • 7+ years professional experience in software development and building successful production software systems
  • 3+ years’ experience in doing visualization using Tableau, Kibana or other visualization tools
  • 4+ industrial experience with common tools for data storage and processing (e.g. Spark, Hadoop Map/Reduce, Hive, Cassandra). You will have to drill into the problems of running large-scale software in a big network3+ years experience in doing data analysis, cohort analysis, customer LTV
  • Experience with one or more general purpose programming languages including Python, Java, JavaScript
  • Ability to write efficient query with common RDBMS and NoSQL
  • We expect you to have system design/architecture skills to build reliable data flows, combining analytical batch processing and low-latency services. You have passion for efficient algorithms and data structures, advantages/limitations of using them in distributed environments
  • Excellent interpersonal, presentation and reporting skills should be your strong sides
  • You are a self-motivated, engaged, eager for self-education person with strong self-management skills
  • Strong oral and written communication skills in English

Way to stand out from the crowd:

  • Demonstrated skills as a senior engineer (i.e. mentoring, leading out in product designs, managing projects, architecting products)
  • Intuitive data visualization
  • Deep dive analysis on data
  • Love for PC/mobile gaming will help you in working with our data sets
  • Experience working within a large international team
  • Software security experience would be a plus
  • Love of technology, especially data analytics, and passionate about what you do
  • Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment

We are committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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