Job Description

About the Team:Are you eager to elevate your career to new heights? Join us for an exhilarating opportunity to pioneer our groundbreaking digital bank project, where boundless possibilities await!We\'re thrilled to extend an invitation for you to join our vibrant team of visionaries, innovators, and trailblazers.As a Data Engineer of our digital bank project, we\'re not just offering a job; we\'re presenting an opportunity to be part of something extraordinary.You\'ll collaborate closely with some of the sharpest minds in the industry, operating within a supportive and collaborative environment that fosters creativity and exploration.Your next thrilling adventure awaits with our digital bank project. Join us in shaping the future, today!About the Role:

• To design, develop, and optimize scalable data infrastructure and pipelines, enabling efficient data processing and storage.
• Work independently, resourceful while also being a good team player.

• Building distributed systems that communicate internally and externally mainly based on REST and messaging.
• Assist with reviewing and interpreting business and technical requirements with a focus on data objectives of the product.
• Identify requirements and develop data delivery solutions.
• Implement company policies on data access and data distribution.
• Support members of various teams to determine database structural requirements by analyzing their applications and client operations.
• Collaborate with highly talented engineers while striving to help them build their skills and achieve their career goals
• Support data flow and ETL processes from end to end for projects and initiatives including troubleshooting of data issues, integrity checks, data model design, querying of data, and performance resulting from data issues.
• Assist in training over the data systems used by the company for the employees. Specifically, training programs for new hires on various reports and models available in the data visualization tools that are used.
• Analyze large data sets, some of them messy, to answer and solve real-world business problems while charting paths towards data cleanup and preventing data from becoming messy.

• Familiarity with financial and banking products
• Demonstrated skills in good software engineering practices.
• Building and shipping large-scale engineering products and/or infrastructure
• Scalable data architecture, fault-tolerant ETL, and monitoring data quality in the cloud (We use Alibaba Cloud)
• Collaborating with a diverse set of engineers, data scientists and product managers
• Deep expertise in data engineering and data processing at scale. Requires a focus on the development of pipelines for the creation of data lakes to enable exploration as well as machine learning model training, deployment and scoring at massive scale.
• Familiarity with data science techniques and frameworks
• The modern cloud stack combined with technologies such as Java and Python

• Open-mindedness and constructive communication, fostering an environment of mutual support and growth.
• Responsibility and ownership, with a strong sense of accountability.
• Commitment to teamwork and achieving shared goals.
• Customer focus and dedication to delivering results.
• A proactive approach to leading change and innovation.

YTL-Sea Digital Bank Project