Job description
About the Role:
Ryt Bank is seeking a highly motivated and enthusiastic Senior Data Engineer to join our dynamic Data Engineering team. As a Senior Data Engineer, you will work at the core of our engineering efforts, developing and optimizing scalable data infrastructure and pipelines, enabling efficient data processing and storage to power our innovative digital products. You will collaborate closely with cross-functional teams to design, build, and refine backend systems, ensuring they are efficient, secure, and capable of handling high-demand scenarios.
Our engineering team thrives on collaboration, innovation, and a shared commitment to excellence. You will also have the opportunity to build distributed systems that communicate internally and externally, mentor junior engineers, and contribute to a culture of continuous learning and technical excellence.
If you're a passionate data engineer eager to make a difference, join us as we shape the future of technology together.
Key Responsibilities:
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 analysing 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.
Analyse 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.
Qualifications:
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
Benefits:
Help build the foundation of a scalable data infrastructure and pipelines, enabling efficient data processing and storage, shaping the future of digital solutions in Malaysia.
Contribute to the development of innovative and reliable systems that delight our users.
Collaborate with a team of like-minded individuals to deliver exceptional products that create meaningful value for our customers.
What We Value
Collaboration: We believe in working together to achieve our goals.
Innovation: We embrace new ideas and encourage creativity.
Excellence: We strive for technical and operational excellence in everything we do.
Customer Focus: We are dedicated to delivering exceptional value and experiences for our users.
JR00000325Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.