Job Description

We are Malaysia's leading Credit Reporting Agency (CRA) and we are aggressively expanding our business, and looking for dynamic, driven and motivated individuals to join our team. Our Direct-To-Consumer segment (D2C), is one of our fastest growing product areas in the market, with an abundance of expansion plans and innovative ideas on hand.
ROLE OVERVIEW
This role serves as a key leadership position within the department, overseeing all activities related to data ingestion, management of datasets, transformation, extraction, and operations to support both internal and external client needs.
The role is also responsible for shaping the department's vision and culture, while providing technical expertise and driving a strong focus on operational excellence.
KEY RESPONSIBILITIES
Data extraction services
Execute ad-hoc, monthly and quarterly data extraction services as required by CTOS internal/external clients and in accordance with services SLA
Perform QA activities related to client data services
Execute data analysis to provide insight for internal/external needs
Automate recurrent data related activities
Investigate data to answer customer complaints related to CTOS services (for example score complain, credit report complaint etc...)
Data pipeline development and operationalization
Design data pipelines to ingest data from multiple sources and implement quality processes
Design processes to create data insight, data features and operationalize analytics models
Develop and implement those data pipelines
Operationalize data pipelines for automated and semi-automated execution
Implement reporting of data universe, data quality across the organization
Study business requirements and gather business rules to standardize attributes in warehouse.
Perform code reviews to ensure datalake implementation standards are followed.
Establish and maintain documentation in terms of business rules and req, data dictionary, pipeline definition, data flow, etc.
Data platform innovation
Own the Data Platform, suggest, specify, and implement enhancements to the platform
Suggest and implement technology components relevant to the data platform
Manage datalake infra & services in terms of capacity scalability, usage, performance, cost utilization, change requests, parameter configuration, etc.
Support key initiatives including migration of CTOS data services to the cloud
Maintain awareness of industry trends and regulatory compliance, implement proactive controls to mitigate risks.
WHAT DOES IT TAKE TO BE SUCCESSFUL
Qualifications
A Bachelor's Degree, Post Graduate Diploma, or Professional Degree in Computer Science, Information Technology, or equivalent
Work Experience
Minimum 10 years' experience in product/software development
Minimum 5 years' experience working with data platforms
Experience working within the financial industry is a plus
Skills & Competencies
Strong knowledge of data platforms, data pipelines, and data-related development including Hadoop, Spark, Jupyter, and cloud-native services
Proficient in cloud services and data-related cloud-native services (AWS preferred)
Proficient in SQL, Python/Pandas/PySpark for implementing data pipelines
Skilled in automation and monitoring tools such as Shell scripts and scheduling tools like AirFlow
Experience with ETL tools such as Talend and/or cloud-native ETL services
Capable of implementing reporting using data platforms or reporting software
Able to implement data reporting solutions using platforms such as Grafana, Power BI
Excellent written and verbal communication skills in English
Able to multi-task and prioritize activities effectively
Understanding of financial industry data sources (e.g., CCRIS, SSM, Angkasa, Idaman) is a plus
Leadership & Interpersonal Attributes
Excellent organizational, operational, and leadership skills
Strong analytical and problem-solving capabilities
Strategic and business-oriented mindset
Outstanding communication and interpersonal abilities
Ability to communicate complex concepts clearly and understandably

Skills Required