We are a leading mobile games company with a strong presence in the gaming industry. Our games are played by millions of users worldwide, and we strive to provide the best gaming experience through cutting-edge technology and innovative gameplay. We are seeking a highly skilled and experienced Data Engineering Director to lead our data engineering department and drive our data infrastructure to support internal data applications, analytics, data science models, and the games themselves. This is an exciting opportunity to join a dynamic and fast-paced environment at the forefront of mobile gaming.
Responsibilities
Lead and manage a team of data engineers, data product managers and QA, providing guidance, mentorship, and performance management.
Develop and execute the data engineering strategy to support internal data applications, analytics, data science models, and games features.
Collaborate with product managers, data scientists, and analysts to understand data requirements and design robust data solutions.
Oversee the design, development, and maintenance of scalable and high-performance data pipelines and ETL processes.
Implement and optimize data storage, retrieval, and processing systems for large volumes of data in real-time environments.
Evaluate and implement advanced open-source tools and technologies to improve the efficiency and effectiveness of the data engineering team.
Ensure data quality, data integrity, and data governance standards are maintained throughout the data infrastructure.
Monitor and troubleshoot data infrastructure performance and reliability issues, ensuring timely resolution.
Stay up-to-date with the latest trends and advancements in data engineering, big data technologies, and industry best practices.
Collaborate with cross-functional teams, including engineering, operations, and business stakeholders, to align data engineering initiatives with organizational goals and priorities.
Requirements: Bachelor's or Master's degree in computer science, information system, or a related field.
Proven experience (at least 7 years) in a leadership role in data engineering or a similar position.
Extensive experience in designing and building scalable data pipelines with high-volume and real-time data requirements.
Experienced with a major Cloud platform: GCP (Prefered), AWS, Azure.
Strong proficiency in advanced open-source tools and technologies such as Spark, Kafka, dbt, dataform, and NoSQL databases.
Solid understanding of data modeling, data warehousing, and database management concepts (BigQuery - Preferred)
Excellent leadership and people management skills, with the ability to mentor and motivate a diverse team, manager of managers.
Strong analytical and problem-solving skills with the ability to tackle complex data engineering challenges.
Familiarity with data governance, discovery, data security, and compliance requirements. (GDPR, Data Masking)
Excellent communication and collaboration skills, with the ability to effectively interact with cross-functional teams and stakeholders.
This position is open to all candidates.
