Compliance Data Engineer: Analytics & Insights

UOB; Jakarta Pusat; On-site; IDR 240,000,000 - 540,000,000; Full time

Job summary

3111 UOB Indonesia seeks an experienced data engineer to build and maintain data pipelines for AFC model development. You will ensure data quality, collaborate with data scientists, and design scalable production workflows.

Required are 5–10 years in tech with 3–5 years in data engineering, strong Python/Spark skills, and experience with Hive/Impala and Hadoop. A Bachelor's in CS/IT is expected.

Qualifications

• 5–10 years in tech with 3–5 years in data engineering/operations.
• Strong Python and Spark coding for complex data tasks.
• Experience with Hive/Impala, Oozie, Hadoop, and data modeling.
• Familiar with RPA and deploying ML/AI models.
• Ability to design scalable data pipelines and collaborate with analysts.

Responsibilities

• Create and maintain infrastructure for ETL of data from diverse sources.
• Deliver production-ready data pipelines for AFC model support.
• Monitor data quality and optimize data tooling and testing.
• Evaluate tools for data lineage and ensure correct data flow.
• Collaborate with Data Management Office and analysts on data readiness.
• Support data scientists with data requirements and model testing.
• Build deployment pipelines for models in UOB environments.
• Ensure seamless deployment of AFC analytics solutions in production.
• Identify enhancements to data delivery and infrastructure for scalability.
• Troubleshoot data issues and assist in migrations to new environments.

Skills

Python/Spark

Hive/Impala

Oozie

Hadoop

Data modeling

RPA

ML deployment

Agile / JIRA

Production pipelines

Data quality

Education

Bachelor's degree in CS/IT

Tools

Python

Spark

SQL

Data pipelines

Job description

3111 UOB Indonesia seeks an experienced data engineer to build and maintain data pipelines for AFC model development. You will ensure data quality, collaborate with data scientists, and design scalable production workflows.

Required are 5–10 years in tech with 3–5 years in data engineering, strong Python/Spark skills, and experience with Hive/Impala and Hadoop. A Bachelor's in CS/IT is expected.