Senior Data Engineer — AML Data Platforms & APIs

Infosys Consulting; Singapore; On-site; SGD 90,000 - 180,000; Full time

Job summary

Infosys Consulting is seeking a Data Engineer to design, build, and optimize enterprise-scale data platforms underpinning the AML Strategic Uplift Program. You will focus on EDW, ADR, historical data, semantic models, and Data-as-a-Service enablement.

The role covers data pipelines in Teradata, Hadoop, Iceberg, and Trino, plus governance, metadata, and observability to ensure regulatory traceability and reliable analytics for enterprise risk and compliance domains.

Qualifications

• 5-10 years of Data Engineering experience.
• Proven experience in Banking, AML, Financial Crime, Risk, or Data Warehousing initiatives.

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 customer, payments, products, channels, compliance, and financial crime domains.
• Implement reusable metadata-driven ingestion and transformation frameworks.
• Optimize batch and near real-time processing performance.
• Develop and maintain enterprise data models supporting Customer Party, Payments, Products, Channels, and Risk & Compliance.
• Support harmonization and reconciliation of transaction models; build semantic data layers and reusable data products for Data-as-a-Service.

Skills

SQL (Advanced)

Python

Shell Scripting

Spark/PySpark

ETL/ELT Design

Metadata Management

Data Quality Frameworks

SCD Type 1/2/3 implementations

Git

Release Management

Automated Deployment Tools

Qlik Sense integration

Data Mesh concepts

Tools

Hadoop ecosystem (Cloudera)

Trino

Teradata

Iceberg

API/Interface tooling

Job description

Infosys Consulting is seeking a Data Engineer to design, build, and optimize enterprise-scale data platforms underpinning the AML Strategic Uplift Program. You will focus on EDW, ADR, historical data, semantic models, and Data-as-a-Service enablement.

The role covers data pipelines in Teradata, Hadoop, Iceberg, and Trino, plus governance, metadata, and observability to ensure regulatory traceability and reliable analytics for enterprise risk and compliance domains.