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Enterprise Data & AI Platform Engineer
Engineer and maintain OCBC’s hybrid cloud data and AI platforms, including Cloudera CDP/CML, Hadoop, Spark, and AWS services like SageMaker and EKS.
Data Engineer (AWS)
Build and maintain scalable data pipelines on AWS using PySpark, Glue, Lambda, and Terraform, while automating deployments with CI/CD.
Senior / Data Engineer
Senior Data Engineer builds and maintains data pipelines, warehouses, and models for a government-linked agency, using cloud tech, Databricks, and Python/SQL.
Data Engineer: Build Scalable AWS Pipelines
Designs and builds scalable AWS data pipelines using Glue, Redshift, and S3, implementing ETL/ELT workflows and optimizing for performance and reliability.
M13 - Data Engineer
Build and maintain AWS-based data pipelines and Redshift warehouses, using Glue, Lambda, and CI/CD to ingest, transform, and optimize data for scalable analytics.
Big Data Engineer (Cancer Science Institute)
Build and maintain a petabyte-scale data platform for cancer research, automating ingestion, storage, and hybrid-cloud pipelines using AWS, Python, and IaC.
Senior Data Engineer
Design and build AI-powered, cloud-based data pipelines and warehouses for telco and geospatial analytics, integrating 4G/5G infrastructure with retail and healthcare data using PySpark, Airflow, and AWS.
Data Engineer (Cloud Data Platform Engineer)
Build and operate an AWS-based ML and monitoring platform using SageMaker, Prometheus, and Grafana, while automating cloud infrastructure with Terraform and CI/CD.
Data Engineer III - Python/Spark/AWS
Build and maintain scalable data pipelines and cloud-native analytics platforms using Python, Spark, and AWS services to support JPMorgan’s global consumer banking operations.
AI Data Engineer Intern
Build and optimize cloud-native data pipelines that power AI/ML models and analytics for a global gaming company, using Python, SQL, AWS, and Airflow.
Backend Engineer: CDC & Qlik Replicate on AWS
Design and implement CDC pipelines and middleware on AWS, configuring endpoints and automating deployments for databases like Oracle, SQL Server, and MySQL.
Senior Backend Engineer, Cloud & Robotics Platform
Designs and builds scalable cloud-native backend services for a global robotics platform, including real-time APIs and data pipelines to monitor and control thousands of robots across multiple countries.
M10 - Data Engineer
Builds and maintains cloud-native data pipelines and backend services using AWS, Python, and IaC to deliver secure, scalable data platforms for enterprise clients.
M02 - Senior Infrastructure Backend Engineer
Design, deploy, and optimize secure, high-availability cloud infrastructure using IaC tools like Terraform and AWS CloudFormation, while automating CI/CD pipelines.
M08 - Data Engineer
Full-stack engineer builds and maintains web apps, APIs, and cloud infrastructure, focusing on data pipelines, DevOps, and security across frontend, backend, and AWS.
Senior Data Engineer (Public Sector)
Design and build scalable cloud data pipelines and lakehouse architectures for a government project, using Python, Spark, Kafka, and AWS services.
Senior Data Engineer (Cloud & GenAI)
Design and scale cloud data pipelines and platforms using Informatica, DBT, and Redshift to power analytics, BI, and GenAI use cases.
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.
Senior Backend Engineer (Golang)
Senior Backend Engineer builds scalable microservices in Golang, maintains cloud-native APIs, and optimizes distributed systems for a modern digital platform.
Software Engineer II
Build and maintain scalable, secure software for JPMorgan’s fintech products, focusing on automation, reliability, and cloud-native infrastructure using Java/Kotlin/Python/Go and Kubernetes/AWS.