Data Developper TG Qualifty Engineering (TGQF)

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:

• Bachelors 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 Load (ETL/ELT) operations across multiple systems.
• Ability to configure operate and scale data management systems ensuring performance and reliability.
• Strong ability to develop complex well-structured software applying software engineering principles and best practices.
• Ability to conduct independent research to identify relevant solutions to complex technical problems.
• Knowledge and practical experience with Agile development methodologies (Scrum Kanban etc.).

Required Knowledge:

• Experience working in cloud environments particularly with Databricks.
• Experience with Delta formats (Delta Lake) for managing transactional and analytical data.
• Ability to use and combine data processing tools and languages such as Apache Spark Scala and PySpark to integrate and orchestrate systems.
• Experience designing and using conceptual data models (CDM).
• Experience with Kafka or other data pipeline and streaming tools.
• Strong understanding of computer science fundamentals including algorithms and data structures.
• Experience with data-oriented architectures including data flow analysis.
• Experience with real-time data extraction transport and loading processes.
• Experience (an asset).
• Experience designing and consuming REST APIs (an asset).

Remote Work :

No

Employment Type :

Full-time