ROLE OVERVIEW
This
role oversees the complete implementation of cloud-based ETL processes, data
operations, and automation to meet internal and external client requirements.
Responsibilities encompass data ingestion, cleansing, transformation, and
extraction, along with developing and operationalizing data pipelines. Daily
operations include managing BAU tasks and supporting specific project
initiatives.
The
role will be pivotal in CTOS's cloud migration efforts, focusing on migrating
data to cloud-based storage and databases. Additionally, the role will
contribute to developing cloud-based dashboards to improve data accessibility
and reporting.
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
·
Ensure zero non-compliances on process audit on
data security and compliance
Data pipeline development and operationalization
·
Design and build data pipelines to ingest data
from multiple sources and implement quality processes
·
Design processes to create data insight, data
features and operationalize analytics models
·
Maintain and develop the cloud services relating
to data pipelines
·
Operationalize data pipelines for automated and
semi-automated execution
·
Implement reporting of data universe, data quality
across the organization
·
Implement Dashboard and reports based on
stakeholder requirements
·
Build control and
monitoring points to maintain data integrity: reliability, completeness,
cleanliness
·
Ensure zero non-compliances on process audit on
data security and compliance
·
Maintain documentation
of processes and workflows
Data platform
innovation
·
Support key initiatives including migration of
CTOS data services to the cloud
·
Implement solutions
ranging from proof of concepts to fully productive applications
WHAT
DOES IT TAKE TO BE SUCCESSFUL
Qualifications
·
A Bachelor’s Degree, Post
Graduate Diploma, or Professional Degree in Computer Science, Information
Technology, or a related field
Work
Experience
·
Minimum 4 years of experience
with ETL/ELT tools
·
Minimum 4 years of experience
working with data platforms
·
Minimum 4 years of experience
in dashboard development and automation
·
Minimum 4 years of experience
with cloud services (AWS preferred)
·
Experience working in the
financial industry is a plus
Skills
& Competencies
·
Strong knowledge of data
platforms, data pipelines, and data-related development (e.g., Hadoop, Spark,
Jupyter, cloud-native services)
·
Proficient in cloud services
and cloud-native data tools (AWS preferred)
·
Skilled in programming
languages and tools for data pipelines (e.g., SQL, Python/Pandas/PySpark)
·
Proficient with automation and
monitoring tools (e.g., shell scripting, Airflow)
·
Experienced with ETL tools
such as Talend and/or cloud-native services like EMR, AWS Glue, EC2, S3
·
Capable of troubleshooting
data issues
·
Able to implement data
reporting solutions using platforms such as Grafana, Power BI, QuickSight
·
Excellent written and verbal
communication skills, including English
·
Understanding of financial
data systems (e.g., CCRIS, SSM, Angkasa, Idaman) is a plus
Interpersonal
& Cross-Cultural Skills
·
Design thinking
·
Outstanding communication and
interpersonal abilities
·
Able to convey complex
technical concepts in a clear, accessible manner