Data Engineer

AEON Bank; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

AEON Bank is building a cutting-edge data platform to power its digital banking vision. You will lead design, development and maintenance of scalable data infrastructure, enabling predictive analytics and rapid experimentation.

You will mentor junior engineers, collaborate with product teams, and drive best practices in data processing, storage, and delivery across the organization.

Qualifications

• Bachelor Degree in Computer Science, IT or similar field.
• At least 3 years of experience in data engineer role.
• Proficient with data development standards and ETL processes.
• Proficient with RDBMS (MySQL, Postgres), NoSQL (MongoDB), and data warehouses (Redshift).
• Experience in building processes that support data transformation and data delivery.
• Proficient with programming languages such as Java and Python.
• Familiarity with Docker, Kubernetes, and CI/CD platforms.
• Experience with cloud services AWS, Azure, and GCP.

Responsibilities

• Actively contribute towards data engineering best practices across the Engineering function.
• Collaborate with Product and Engineering teams to construct data pipelines for business reporting and application monitoring.
• Collaborate with analysts and data scientists to build analytical tools based on data pipelines.
• Write scalable and high-performing code for data infrastructure.
• Participate in the data solutions development process from definition to deployment.
• Provide consultation to Product and Engineering teams in data processing and storage best practices.
• Support production code to produce comprehensive and accurate data artifacts.
• Mentor other data engineers for personal and professional growth.
• Design, evaluate, and communicate solutions to technical and non-technical stakeholders.

Skills

Data engineering

ETL

Java

Python

MySQL

PostgreSQL

MongoDB

Redshift

Docker

Kubernetes

AWS

Azure

GCP

CI/CD

Jenkins

Bitbucket

Github Actions

Gitlab CI

Documentation

Problem solving

Microservice architecture

Domain-driven design

Data warehousing

Data pipelines

Data transformation

Education

Bachelor Degree in Computer Science, IT or similar field

Tools

Docker

Kubernetes

CI/CD platforms

Jenkins

Bitbucket

Github Actions

Gitlab CI

AWS

Azure

GCP

Job description

You are responsible for the design, development, and maintenance of a cutting edge data

infrastructure that empower the digital bank’s vision in offering innovative financial products with frictionless customer experience that is realized through large-scale data federation, predictive and prescriptive analytics, state-of-the-art machine/deep learning, and rapid experimentation. You and your team will take full ownership of the data infrastructure under your care.

Key Responsibilities:

• Actively contribute towards all data engineering best practices across the Engineering function
• Collaborate with Product and Engineering teams to construct data pipelines for business reporting and application monitoring
• Collaborate with analysts and data scientists to build analytical tools based on data pipelines
• Write the best code in terms of scalability and performance of the data infrastructure
• Participate in the data solutions development process from definition to deployment
• Provide consultation to Product and Engineering teams in data processing and storage best practices
• Responsible for supporting production code to produce comprehensive and accurate data artifacts
• Senior data engineers will mentor other data engineers for both personal and professional growth
• Design, evaluate, and communicate solutions to both technical and non-technical stakeholders

Requirements:

• Bachelor Degree in Computer Science, IT or similar field
• At least 3 years of experience in data engineer role
• Proficient with data development standards and ETL processes
• Proficient with with RDBMS (MySQL, Postgres), NoSQL (MongoDB), and data warehouses (Redshift)
• Experience in building processes that support data transformation and data delivery
• Proficient with programming and scripting languages (e.g. Java and Python}
• Excellent problem solving and troubleshooting skills
• Process oriented with great documentation skills
• Familiarity with microservice architecture and domain-driven design is a plus
• Familiarity with data science techniques and frameworks is a plus
• Familiarity with Docker/Container, Container Orchestration (Kubernetes)
• Familiarity with CI/CD platforms (Jenkins, Bitbucket, Github Actions, Gitlab CI)
• Familiarity with modern cloud service provider such as AWS, Azure, and GCP