Ubisoft
Entertainment
DataDevelopperTGQualiftyEngineering(TGQF)
Neural analysis suggests this role is
optimal for mid candidates.
“Data Developper TG Qualifty Engineering (TGQF) at Ubisoft. Skills: Data pipelines, Data transformation, Data architecture, Data modeling. Design data pipelines. Build data pipelines”
What You'll Achieve.
Improve scalability; Improve efficiency
Industry & Context.
Independent research; Complex technical problems
What They're Looking For.
Must Have
5 years of experience working with data, 5 years of experience developing data systems, 3 years of experience in data modeling, 3 years of experience managing SQL databases, 3 years of experience managing NoSQL databases, Ability to design data processes, Ability to implement data processes, Expertise in ETL/ELT operations, Ability to configure data management systems, Ability to operate data management systems, Ability to scale data management systems, Ability to develop complex software, Ability to apply software engineering principles, Ability to apply software engineering best practices, Ability to conduct independent research, Knowledge of Agile development methodologies, Experience with Databricks, Experience with Delta Lake, Experience with Apache Spark, Experience with Scala, Experience with PySpark, Experience designing conceptual data models, Experience using conceptual data models, Experience with Kafka, Experience with data pipeline tools, Experience with streaming tools, Understanding of computer science fundamentals, Understanding of algorithms, Understanding of data structures, Experience with data-oriented architectures, Experience with data flow analysis, Experience with real-time data extraction, Experience with real-time data transport, Experience with real-time data loading
Nice to Have
Experience with .NET, Experience designing REST APIs, Experience consuming REST APIs
What You'll Do.
Design data pipelines
Maintain data pipelines
Develop data transformation processes
Contribute to data architecture initiatives
Monitor platform performance
Monitor platform stability
Analyze key performance indicators
Propose infrastructure improvements
Support implementation of data systems
Support implementation of data tools
Support implementation of data processes
Perform related tasks
How You'll Work.
Team & Collaboration
Cross-functional teams; Product teams; Backend developers; Frontend developers
Process & Methodology
Agile, Scrum, Kanban
Full Job Description
Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin’s Creed, Rainbow Six to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you’re passionate about innovation and pushing entertainment boundaries, join our journey and help create the unknown! As a Data Engineer, you will work closely with Product teams and Backend and Frontend developers to design, build, and maintain data pipelines that track and measure game performance. You will be responsible for making sure that game data is accessible, reliable, secure, and high quality, so internal teams can use it to improve and optimize Ubisoft games at scale. Responsibilities * Design, build, and maintain data pipelines to transport large volumes of data. * Develop data transformation processes that deliver meaningful game performance data to production teams. * Contribute to data architecture initiatives for both structured and unstructured data. * Monitor and ensure data quality, including reliability, consistency, and integrity. * Monitor the performance and stability of the data platform. * Analyze key performance indicators and propose infrastructure improvements to improve scalability and efficiency. * Support the implementation of new and existing data systems, tools, and processes. * Collaborate with cross-functional teams and perform related tasks as needed. ## Qualifications Education: * Bachelor’s degree in Computer Science, Engineering, or a related field. Relevant Experience: * Minimum 5 years of experience working with data, coding, scripting, and system design. * Minimum 5 years of experience developing and managing large-scale data systems. * Minimum 3 years of experience in data modeling and managing SQL and NoSQL databases. Required Skills: * Ability to design and implement data processes based on data flow concepts and pipeline architectures. * Strong expertise in Extract, Transform,
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