Data Engineer
Full Time
full time
27 Nov 2024
Verified by Turrior
Content + Source + Freshness • 12 Dec 2025 • 95% confidence
82 / 100
Offer value
High score derives from the damanding tech stack, competitive salary, and growth opportunities within a fast-evolving sector.
- Salary: $126,713–$238,518/year
- Working with leading-edge data technology
- Opportunities in a rapidly evolving sector
- Requires robust technical expertise
Pros
- Salary range of $126,713–$238,518 reflects strong market competitiveness
- Engagement with cutting-edge data technologies
- Potential for significant impact on the organization’s product and service quality
Cons
- High expectations for engineering experience and technical skill
- Pressure from continuous evolution of technology stack
- Fast-paced workload may lead to burnout for some
Who it's for
Mid to Senior • Hybrid
Good fit
- Mid to senior-level data engineers
- Professionals passionate about data technology in finance
- Individuals skilled in engineering complex data solutions
Not recommended for
- Fresh graduates without relevant experience
- Individuals seeking a low-pressure work environment
- Those unfamiliar with the fintech arena
Motivation fit
Desire to work with complex data systemsInterest in financial technologies and risk analysisMotivation to thrive in a collaborative engineering team
Key skills
Data pipeline optimizationSQL and NoSQL proficiencyReal-time data warehouse managementProgramming in Python and Java
Score: 82/100 AI verified analysis
About the job
Requirements
- Minimum 5 years of experience in data engineering, with a proven track record in building and optimizing data pipelines ,
- Strong proficiency with data processing tools such as Apache Spark and Apache Flink ,
- Extensive experience in developing both batch and streaming data pipelines ,
- In-depth expertise in SQL and NoSQL databases, including advanced skills in performance tuning and troubleshooting ,
- Advanced proficiency in SQL, with familiarity in FlinkSQL features, such as window functions, aggregate functions, and the creation of scalar functions and user-defined functions ,
- Knowledge of and experience with AWS Data Pipeline and related tools ,
- Strong programming skills in Hive-SQL, Python, Java, and Apache Spark ,
- A self-motivated, innovative team player with excellent collaboration, communication, and presentation skills ,
- (Desirable) Fluent in both English and Mandarin, with strong written and spoken proficiency in both languages preferred ,
- (Desirable) Familiar with Alicloud Data Engineering process ,
- (Desirable) Risk related job experience, payment industry and payment risk are best ,
- (Desirable) Familiar with DevOps tools such as Git, Docker, k8s
What the job involves
- The Data team at OKX is responsible for the end-to-end management of data across the entire OKG ecosystem ,
- This includes everything from technical selection, architecture design, and data ingestion to storage, ETL processes, data visualization, business intelligence, and data science ,
- Our team is composed of data engineers, analysts, and scientists, and we take full ownership of the data lifecycle, ensuring seamless integration and management of data across all stages—from ingestion to ETL, warehousing, and services ,
- As a Data Engineer on the team, you will collaborate with colleagues to harness cutting-edge data technologies, enabling data-driven decision-making and enhancing the quality of OKX’s products and services ,
- Additionally, working in the risk domain, you’ll have the opportunity to engage in risk behavior analysis and contribute to the development of risk strategies and models ,
- You will be responsible for designing and building offline data warehouses, including the ODS, DWD, DWS, and ADS layers, across both Alicloud and AWS platforms ,
- You will develop and manage real-time data warehouses, leveraging tools such as Flink, Hologress, and Aurora to build resilient, efficient, and scalable real-time data pipelines ,
- You will oversee the creation and optimization of risk datamarts, focusing on writing efficient, resource-friendly, and maintainable code ,
- You will ensure the integrity and scalability of data systems by enforcing data standards, improving data validation processes, and enhancing monitoring procedures to proactively identify and resolve issues
Benefits
- Comprehensive insurance package including medical, dental, vision, disability & life insurance. ,
- Paid Parental Leave ,
- Employee Referral Bonus Program paid in BTC ,
- More surprises when you join!
