CTOS Digital is a key player in ASEAN credit reporting landscape, enabling digital credit solutions through strategic investment and innovation. We empower individual and business with the confident to make sound credit decision through access to data and insights at greater ease and speed. Join our team as a Data Engineering Analyst and play a key role in shaping CTOS's cloud data journey! We're looking for a proactive and detail-oriented individual to build and optimize data pipelines, support cloud migration initiatives, and drive automation across our data processes. If you're passionate about cloud technologies, data engineering, and making data work smarter, not harder, this is the role for you! Here&aposs How You Will Add Value 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 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. 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. Ensure zero non-compliances on process audit on data security and compliance. Data platform innovation Support key initiatives including migration of CTOS data services to the cloud. What you&aposll need to succeed: 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 Excellent written and verbal communication skills, including English Understanding of financial data systems (e.g., CCRIS, SSM, Angkasa, Idaman) is a plus Show more Show less