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Consultant - Data Engineer (AI-Enabled Data Engineering)
Design and build AI-ready data platforms and ML pipelines for analytics, GenAI, and RAG systems on AWS/Azure/GCP, ensuring production-grade delivery and MLOps practices.
Data Engineer
Designs and maintains scalable data pipelines and warehouses, using PySpark, Spark, Hadoop, or Flink to turn raw data into reliable analytics assets.
Backend Engineer - AML Engine Orchestration Singapore Regular
Build and optimize distributed orchestration frameworks for large-scale ML training and inference in Kubernetes, focusing on resource efficiency and next-gen recommendation systems.
Information Technology Consultant (AI Data Engineer (Cloudera to AWS Migration)
Build and migrate AI/ML pipelines from Cloudera to AWS, using Python, PySpark, and AWS services like Sagemaker and Glue to deploy scalable GenAI and ML models.
Data Engineer-Consultant
Build and maintain scalable data pipelines, master data management systems, and cloud-based analytics infrastructure using Spark, Kafka, and cloud services.
Real-Time Data Engineer for AI & Big Data in Banking
Builds scalable data pipelines in Java, Spark, and Python to ingest and process real-time and batch data for banking operations, and collaborates with data scientists to deploy ML models.
Assistant VP (Data Engineering) - OCBC
Build and maintain cloud-native data pipelines and lakehouse systems using Spark, PySpark, Iceberg, and streaming tools to modernize OCBC’s financial data infrastructure.
Data Engineering Lead — Real-Time, AI/ML in Banking
Lead a team to build real-time data pipelines and AI/ML systems for banking, using Java, Spark, Python, and Hadoop to process multi-modal data and operationalize models.
Software Engineer 1
Build and maintain high-volume, low-latency ingestion and retrieval services for Abnormal’s AI-native security platform, ensuring reliable, scalable, and security-critical data handling across global cloud infrastructure.
Data Engineer, Ad Data
Build and maintain scalable data pipelines and ETL processes for TikTok’s ad data systems, ensuring high-quality data for advertisers and supporting real-time analytics.
SM/M, Senior Data Engineer
Designs and maintains scalable data pipelines and infrastructure for a government data platform, blending data engineering with applied data science to enable AI-ready datasets and regulatory-compliant analytics.
Senior Data Engineer, Compliance Data Infrastructure
Build and maintain scalable data pipelines for a global crypto exchange, enabling AML monitoring, KYC/KYB, sanctions screening, and regulatory reporting with AI-assisted engineering and strict auditability.
Junior Cloud Data Engineer
Build and maintain cloud-native data pipelines and RESTful APIs using Python, SQL, Spark, and cloud platforms like AWS/Azure/GCP.
Data Engineer (Databricks)
Build and maintain scalable data pipelines on Databricks and Azure, integrating diverse sources and ensuring high-quality data for analytics and ML workloads using PySpark, Spark SQL, and Delta Lake.
Senior Data Engineer
Build and maintain scalable data pipelines and infrastructure to power analytics and machine learning at a Southeast Asian AI venture.
Senior Data Engineer
Designs cloud data pipelines and warehouses, builds models for analytics and ML, and partners with teams to enable real-time customer personalization using Python, SQL, and GCP/AWS/Azure.
Senior Data Engineer - AVP
Build and maintain cloud-native data pipelines, lakehouses, and real-time streaming systems using Spark, Iceberg, and cloud services to modernize a bank’s data infrastructure.
Data Engineering/Architecture Manager (Public Services)
Design and implement enterprise data architecture, ETL pipelines, and governance frameworks for public-sector clients using SQL, cloud platforms, and big-data tools.
Senior Data Engineer (Networks)
Build and optimize data pipelines and applications using Hadoop, Spark, Python, and Airflow, while leading DataOps and mentoring junior engineers.
Data Engineer（Senior Level）
Lead the design and build of scalable data pipelines and warehouses to turn mobile, IoT, and app data into ML-driven insights and dashboards.