Senior Data Engineer - AML Data Platform & APIs (Singapore)

Infosys; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Infosys in Singapore is seeking a Senior Data Engineer to design, build, and optimize enterprise-scale data platforms enabling the AML Strategic Uplift Program. You will contribute to the EDW, ADR, semantic models, and Data-as-a-Service delivery.

The role involves data pipelines across Teradata, Hadoop, Iceberg, and Trino, plus data governance, lineage, quality controls, and API-enabled interfaces. Strong SQL, Python, Spark, and ETL/ELT skills are essential.

Qualifications

• 5-10 years of Data Engineering experience.
• Experience in Banking, AML, Financial Crime, Risk, Regulatory Reporting, or Data Warehousing initiatives.
• Experience delivering enterprise-scale data transformation programs.

Responsibilities

• Design, develop, and maintain scalable data pipelines across Teradata, Hadoop, Iceberg, and Trino environments.
• Build and operationalize historical data frameworks supporting SCDs, snapshot processing, and large-scale history reconstruction.
• Develop ETL/ELT solutions for banking domains (customer, payments, products, channels, compliance, and financial crime).
• Implement reusable metadata-driven ingestion and transformation frameworks.
• Optimize batch and near real-time processing performance.

Skills

SQL

Python

Spark

ETL/ELT

Data modelling

Data lineage

Data quality

SCD types

Git

CI/CD

Tools

Teradata

Hadoop

Apache Iceberg

Trino

PySpark

Job description

Infosys in Singapore is seeking a Senior Data Engineer to design, build, and optimize enterprise-scale data platforms enabling the AML Strategic Uplift Program. You will contribute to the EDW, ADR, semantic models, and Data-as-a-Service delivery.

The role involves data pipelines across Teradata, Hadoop, Iceberg, and Trino, plus data governance, lineage, quality controls, and API-enabled interfaces. Strong SQL, Python, Spark, and ETL/ELT skills are essential.