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.

Job Summary:

• The Head of Data Engineering is first and foremost a leader within the department overseeing the activities related to data ingestion, data transformation, data extraction and data operations for internal and external client needs.
• The Head of Data Engineering is responsible for setting the department vision and culture and brings technical know-how and operational excellence to the team.
• The Head of Data Engineering takes responsibility for the accessibility, retrievability, security, quality, retention, and ethical handling of datasets. As such the Head of Data Engineering designs, implements, and operationalize data pipelines to achieve those objectives.
• As CTOS is currently starting a cloud migration journey, the Head of Data Engineering brings cloud expertise and help support design and migration activities to transition existing services into the cloud.

The Head of Data Engineering is a team leader who manages his/her team towards the following activities:

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

Data platform innovation

Job Requirements :

Bachelor’s Degree, Post Graduate Diploma, Professional Degree in Computer Science / Information Technology or equivalent

Minimum 10 years’ experience in product / software development

Minimum 5 years’ experience working with a data platform

Experience working within financial industry is a plus

Strong knowledge of data platforms, data pipelines, data related development including platforms such as Hadoop, Spark, Jupyter, cloud native services

Proficient with cloud services and knowledge of data related cloud native services (Azure and/or AWS)

Proficient with tools and programming languages required to implement data pipelines: SQL, Python / Pandas

Proficient with tools required to implement automation and monitoring: Shell scripts, scheduling tools such as AirFlow

Experience with ETL tools such as Talend and/or cloud native services

Experience implementing reporting using a data platform or reporting software

Excellent written and verbal communication skills including English

Able to multi-task and prioritize activities efficiently

Understanding of financial industry and related data (CCRIS, SSM, Angkasa, Idaman…) is a plus

  Employment Type:  Permanent

  Spoken Language:  Malay, English

  Written Language:  Malay, English