R&D Data Engineering Lead

2 Days ago • All levels • Data Analyst

About the job

SummaryBy Outscal

Must have:
  • Basic knowledge of programming languages
  • Ability to analyze problems and deploy solutions
  • Willingness and ability to write documents, scripts, and maintain tools
  • Excellent communication skills
  • Structured approach with strong problem-solving skills
  • Proactive attitude and resourceful nature
  • Technical competency in understanding pipelines and production tools
  • Experience managing large sets of unstructured data
  • Interest in safekeeping and organizing data with strong work ethics
  • Good English skills
Good to have:
  • Previous experience in game development, especially in data management & Art related workflows
  • Experience with software used in AAA pipelines and version control software
  • Experience in data engineering for data lake/data warehouse
  • Passion and enthusiasm for machine & deep learning
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PLAY, GROW and WIN

To be a part of Virtuos means to be a creator.  

At Virtuos, we harness the latest technologies to make games better and more immersive than ever before. That is why we pride ourselves in constantly pushing the boundaries of possibility since our founding in 2004. 

Virtuosi is a team of experts – people who have come together to share their mutual passion for making and playing games. People with the same enthusiasm for exploring new ideas and the constant drive to excel in their field. People who believe in earning success through dedication.

At Virtuos, we are at the forefront of gaming, creating exciting new experiences daily. Join us to Play, Grow and Win – together.

ABOUT THE POSITION

As a Data Engineering Lead, you will be responsible for all critical aspects of governing, collecting, transforming & provisioning data used to drive R&D activities within Virtuos.

Responsibilities


• Driving the process of creating and distributing relevant policies and procedures
• Co-operation with members from different departments to automate the data collection & transformation process, and improve the efficiency of production throughout projects;
• Identification of data components necessary to support R&D projects and governing their full lifecycle
• Supporting data activities by developing tools or scripts for the needs of projects;
• Work with every studio in the group to ensure received data is adhering to required standards
• Work with internal teams (R&D, TechArt, IT) to build and manage technical pipeline responsible for storage and transformation of the data
• Maintain a good general knowledge of the production pipelines and tools and provide up-to-date documentation on workflow methods, pipeline systems within a centralised accessible location;
• Collaborate with partner studios to share technology and best practices;

Qualifications

• Graduates from computer science, management or related majors;
• Basic knowledge of programming languages;
• Ability to analyze problems and quickly deploy effective solutions;
• Willingness and ability to write document, scripts and maintain tools;
• Excellent verbal and written communication and strong interpersonal skills;
• A rigorous and structured approach with strong problem-solving skills;
• A proactive attitude and resourceful nature;
• Technical competency in understanding the intricacies of pipelines and production tools and the ability to identify bottlenecks or other avenues for improvement;
• Experience in managing large sets of unstructured data (e.g. images, videos)
• An interest in safekeeping and organizing data with strong work ethics around this.
• Good English skills;
• Pluses:
o Previous experience in game development, especially in data management & Art related workflows
o Experience on software used in AAA pipelines as well as version control software such as Perforce, Subversion
o Experiences in data engineering for data lake/ data warehouse for both on-premise and cloud
o Passion and enthusiasm for machine & deep learning

Job Info

  • Job Function Identification 889
  • Posting Date 11/12/2024, 09:27 AM
  • Locations China, Shanghai
  • Job Function Schedule Full time
  • Linkedin Tags #LI-AB1
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