Source description
About the role
Develop and implement processes to extract, clean, and transform data from various sources to ensure it is ready for modelling/consumption.
Collaborate with analytics engineers, data scientists/analysts and product stakeholders to understand their data needs and provide them with reliable data solutions ; capturing a complete ecosystem view of in- and out-of-game user behaviors.
Architect and implement robust, maintainable, and high-performance ETL/ELT pipelines and data systems ; ensuring accuracy, compliance, scalability, and long-term usability.
Create and maintain comprehensive data documentation, including data dictionaries, schemas, and metadata. Ensure that data definitions are consistent and easily accessible to all stakeholders.
Monitor data pipelines and systems to ensure high availability and performance alongside our analytics engineer ; implement automated data quality checks, validation processes and alerts ensuring the accuracy and reliability of data.
Write efficient, maintainable, and scalable code using best practices. Conduct code and SQL reviews and provide feedback to ensure high standards of code quality within the team.
Stay updated with the latest trends, technologies, frameworks and best practices in data engineering / analytics / AI and share knowledge with the team.
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