Career
Data Model Engineer
Technology
|
Permanent
Technology
Permanent
About Us
Do you want to be part of Thailand banking transformation? Data is the core of the new financial services era, and we are open for the opportunity to be part to drive this change at the core.
SCB DATAx is a new venture of the Siam Commercial Bank (SCB) holdings, a leading financial services and digital services holdings in Thailand and ASEAN.
As part of the transformation of SCB into a group of product and technology companies, under the SCBx brand, SCB DATAx is the technology company to centralize data and provides AI and data science services and products to the group.
With a leading-edge cloud native data & AI platform, our vision is to support the group to providing everyone in our region with the opportunity to prosper.
We work on forward-thinking challenges of centralizing, analyzing and sharing information. We collaborate with companies and experts in many different domains, embrace diversity and all that while having a good laugh and joy in work.
Discover job openings on our career page. To apply, email with the role's title as the subject, attach your CV, and specify your contact information. We're eager to learn more about you.
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Benefits
Other
Preferred Qualifications
Informatica, Immuta, Databricks and Azure
Good understanding of banking products, respective data domains, as well as relationships with system domains and banking data concepts with emphasis on metadata definitions (business and technical)
Qualifications
Demonstrated experience with cloud data platforms such as AWS, Azure or GCP.
Strong knowledge of data modeling methodologies across conceptual, logical, and physical domains.
Expertise in ER/dimensional modeling techniques and normalization principles.
Strong knowledge of relational and non-relational database architectures and their appropriate use cases.
Experience with data classification for governance, security, and privacy compliance.
Experience in data analysis, data profiling, and communicating concepts and results to a variety of audiences.
Knowledge of data quality monitoring frameworks and processes.
Strong experience in programming languages particularly in T-SQL and Python.
Ability to work on cross-functional units with excellent verbal & written communication skills.
Responsibilities
Create and maintain data architectures (relational, dimensional, NoSQL., etc.) that align with business requirements, ensuring optimal data storage and retrieval.
Design, develop, and optimize data models for a variety of application and AI product, including reporting, data analysis and machine learning.
Work closely with data scientists, machine learning engineer, data engineer, business stakeholders, and software engineer to understand data requirements and deliver effective data models that support business goals.
Support the data pipeline by ensuring that data models can efficiently integrate with data ingestion, transformation, and storage processes.
Ensure the integrity, consistency, and accuracy of data models by implementing validation rules, data cleaning processes, and robust error handling techniques.
Continuously monitor and optimize data model performance, troubleshoot bottlenecks, and implement improvements to ensure fast data access and processing.
Maintain thorough documentation for all data models, including design specification, data dictionaries, data assets inventory and guidelines for data model usages and maintenance.
Stay up to date with industry trends and technologies in data architecture and modeling, contribute ideas for leveraging new tools and methods.
About Team & Role
You will be a member of Enterprise Architect, under Technology organization. You will take opportunity to work under Enterprise Architect - Data team, is a strategic planning discipline that helps organization align their business goals with IT systems, processes, and infrastructure. It provides a holistic view of the entire enterprise – business, data, applications and technology.