Data Engineer, OKX

• Bachelor’s Degree in Computer Science and at least 7+ years of experience in Data Engineering with significant focus on Data Marts
• Solid Experience with data processing tools such as Spark and Flink
• Solid Experience implementing batch and streaming data pipelines
• In-depth knowledge of both SQL and NoSQL databases, including performance tuning and troubleshooting
• Be proficient in SQL, familiar with advanced SQL features such as window functions, aggregate functions and creating scalar functions/user-defined functions
• Proven successful and trackable experience in full end-to-end data solutions involving data ingestion, data persistence, data extraction and data analysis

Desirable

• The OKX Data Engineering team is responsible for the whole data scope of OKG, from techincal selection, architecture design, data ingestion, data storage, ETL, data visualization to business intelligence and data science
• The team has end-to-end ownership of most of the data at OKx throughout the whole data lifecycle including data ingestion, data ETL, data warehouse and data services
• As a data engineer of the team, you will work with the team to leverage data technologies to empower evidence-based decision-making and improve the quality of the company's products and services
• Design, build, and maintain analytics-ready Data Marts using best-practice dimensional modeling (star/snowflake schemas)
• Partner with analytics and business teams to understand requirements and deliver trusted, well-documented datasets
• Design and build resilient and efficient data pipelines for both batch and real-time streaming data
• Architect and design data infrastructure on cloud using industry standard tools
• Ensure data integrity and scalability through enforcement of data standards. Improve data validation and monitoring processes to proactively prevent, identify and resolve issues
• Define, understand, and test external/internal opportunities to improve our products and services