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Senior / Data Engineer (AGC)
Build and maintain AWS-based data pipelines and cloud infrastructure for Singapore’s legal sector, consolidating datasets and preparing data for AI-powered tools like LLMs.
Data Engineer (CDC & Legal ETL)
Builds and maintains CDC pipelines to sync Singapore’s legal data into a Neo4j knowledge graph, ensuring AI models stay current with statutory changes via automated ETL and validation.
Software Engineer (Back-End) - A26261
Build and maintain secure backend services for a cloud-based digital platform using Node.js, TypeScript, and PostgreSQL, with AWS deployment and CI/CD pipelines.
Data Engineer - AWS PySpark ETL Pipelines
Design and maintain scalable AWS data pipelines using Python, PySpark, Glue, and Step Functions, plus serverless Lambda and Terraform infrastructure.
Data Engineer (AWS, PySpark)
Build and maintain scalable data pipelines on AWS using PySpark, Glue, Lambda, and Step Functions, while automating infrastructure with Terraform and CI/CD.
Senior Backend Software Engineer - Nas.com
Build and scale the backend for a fast-growing creator platform using Node.js/Python, MongoDB, Redis, and AWS, ensuring reliability and performance in a global, async environment.
Senior Data Engineer (AI)
Design and maintain scalable data pipelines and lakehouse architectures to power AI models and analytics dashboards, using AWS, Databricks, and Snowflake.
AWS Data Engineer
Build and maintain scalable data pipelines and ETL workflows on AWS using PySpark, Glue, Lambda, and Step Functions, while automating infrastructure with Terraform and CI/CD.
Data Engineer( Lead)
Lead a team to modernize data platforms by migrating to AWS and building scalable pipelines with Databricks, Informatica IDMC, and Tableau.
Cloud Data Engineer
Designs and builds cloud data pipelines on AWS and Databricks, architecting storage solutions and optimizing ETL workflows for analytics and reporting.
Data Engineer (AWS)
Build and maintain scalable data pipelines on AWS using PySpark, Glue, Lambda, and Terraform, while automating deployments with CI/CD.
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.
M22 - Data Engineer
Design and maintain scalable data pipelines, ETL processes, and data warehouses using Python, SQL, and cloud tools to support analytics and business intelligence for enterprise clients.
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.
Data Engineer
Build and maintain scalable data pipelines in Python and AWS to feed AI platforms and BI tools, ensuring high-quality data for analytics and decision-making.
Data Engineer (Databricks)
Build and maintain production-grade data pipelines on Databricks and AWS, using PySpark, Delta Lake, and structured streaming to feed AI/ML and BI workloads.
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.
Software Engineer (System)
Designs and builds high-performance back-office software for an Automatic Fare Collection system using Java/JEE, Spring, and cloud-native tools.
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.