Data Engineer for AFC Analytics & Insights

3111 UOB Indonesia; Jakarta Pusat; On-site; IDR 360,000,000 - 600,000,000; Full time

Job summary

3111 UOB Indonesia is seeking a senior data engineer to design, build and maintain robust data pipelines for AFC models in a banking environment. You will work closely with data scientists and business stakeholders to ensure data quality and availability across source systems.

The role requires strong Python/Spark coding, experience with Hive/Impala, Oozie and Hadoop, and a track record of deploying ML/AI models at scale. Collaboration and communication with cross‑functional teams are essential.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, IT, or equivalent.
• Proficiency in Python/Spark to code complex data engineering use cases.
• Experience with Hive/Impala, Oozie, Hadoop, etc.
• Experience with schema design and dimensional data modeling.
• Experience deploying and scaling ML/AI models.

Responsibilities

• Create, build, and maintain the infrastructure for ETL of data from multiple sources.
• Deliver production-ready data pipelines to support AFC model build.
• Monitor data quality and optimize tooling to improve data quality.
• Design/open-source or vendor tools for data lineage mapping.
• Ensure data flow from system to system is correct.
• Collaborate with Data Management Office and stakeholders to meet model requirements.
• Support Data Scientists in model narratives and data requirements.
• Create a deployment pipeline to automate models in production environments.

Skills

Python

Spark

Communication skills

People skills

Education

Bachelor's degree in CS/CE/IT

Tools

Hive/Impala

Oozie

Hadoop

Job description

3111 UOB Indonesia is seeking a senior data engineer to design, build and maintain robust data pipelines for AFC models in a banking environment. You will work closely with data scientists and business stakeholders to ensure data quality and availability across source systems.

The role requires strong Python/Spark coding, experience with Hive/Impala, Oozie and Hadoop, and a track record of deploying ML/AI models at scale. Collaboration and communication with cross‑functional teams are essential.