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.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 servicesExecute ad-hoc, monthly and quarterly data extraction services as required by CTOS internal/external clients and in accordance with services SLAPerform QA activities related to client data servicesExecute data analysis to provide insight for internal/external needsAutomate recurrent data related activitiesInvestigate data to answer customer complaints related to CTOS services (for example score complain, credit report complaint etc\xe2\x80\xa6)Data pipeline development and operationalizationDesign data pipelines to ingest data from multiple sources and implement quality processesDesign processes to create data insight, data features and operationalize analytics modelsDevelop and implement those data pipelinesOperationalize data pipelines for automated and semi-automated executionImplement reporting of data universe, data quality across the organizationData platform innovationOwn the Data Platform, suggest, specify, and implement enhancements to the platformSuggest and implement technology components relevant to the data platformSupport key initiatives including migration of CTOS data services to the cloudJob Requirements :Bachelor\'s Degree, Post Graduate Diploma, Professional Degree in Computer Science / Information Technology or equivalentMinimum 10 years\' experience in product / software developmentMinimum 5 years\' experience working with a data platform Experience working within financial industry is a plusStrong knowledge of data platforms, data pipelines, data related development including platforms such as Hadoop, Spark, Jupyter, cloud native servicesProficient 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 / PandasProficient with tools required to implement automation and monitoring: Shell scripts, scheduling tools such as AirFlowExperience with ETL tools such as Talend and/or cloud native servicesExperience implementing reporting using a data platform or reporting softwareExcellent written and verbal communication skills including EnglishAble to multi-task and prioritize activities efficientlyUnderstanding of financial industry and related data (CCRIS, SSM, Angkasa, Idaman\xe2\x80\xa6) is a plusEmployment Type: PermanentSpoken Language: Malay, EnglishWritten Language: Malay, English

CTOS