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The Innovation & Analytics Engineer will develop data-driven solutions and dashboards to optimize traffic operations and road asset management for the Land Transport Authority. The role involves managing analytics projects and leveraging smart technologies, big data, and GIS applications.
The Senior AI Engineer will design and maintain full-stack Python applications for trading surveillance, focusing on building RAG systems, vector stores, and scalable data pipelines using technologies like Kafka, Spark, and cloud data platforms.
The Senior Application Developer will build and maintain APIs, actuarial engines, and analytics applications using C#, .NET, Angular, and TypeScript. The role involves collaborating with cross-functional teams to deliver scalable solutions through CI/CD and automated workflows.
DATA CENTRE ENGINEER (2.Perm) Junior Executive 2 years exp $2,000 to $3,000 Monthly Roles & Responsibilities As a Data Center Engineer plays a crucial role in maintaining the operational integrity of the data…
About the Position We are looking for an experienced Data Centre Engineer who can help our team keep Jane Street's data safe and accessible around the clock, which will involve a mix of hands-on work in our data…
Data Engineering intern at Seagate's Singapore manufacturing site, building software tools to monitor MDW equipment health, automate data reports, and perform big data analysis using Python/SQL in a hard-disk manufacturing environment.
Senior Delivery Consultant on AWS Professional Services focused on Data Engineering, designing and implementing scalable AWS solutions for customers—especially public sector—with emphasis on data analytics and ML on AWS.
The BAU Lead - Data Engineering will manage data operations, production support, and platform stability in a cloud-first environment. The role involves leading a team to build and maintain data pipelines using AWS, Snowflake, Python, and Spark.
Builds and maintains data pipelines, dashboards, and cloud infrastructure to support business analytics, troubleshoot technical issues, and ensure data quality for clients.
Designs and implements data pipelines, ETL processes, and reporting solutions to meet analytical needs using Python, PySpark, and big data tools like Cloudera. Focuses on automation, data modeling, and troubleshooting for government/authority data systems.
Designs, builds, and maintains scalable data pipelines and ETL/ELT workflows on AWS using Python, PySpark, AWS Glue, and Lambda. Manages cloud infrastructure with Terraform and ensures CI/CD pipelines, monitoring, and security compliance.
Senior Data Engineer designing and maintaining a large-scale Weather Data Lakehouse platform, building cloud-based data pipelines for ingestion, transformation, and processing to support analytics and AI/ML workloads.
Lead data platform engineering and SRE for SGX's enterprise data platform across cloud and on-prem environments, ensuring scalability, reliability, and security while leveraging AI-assisted engineering and automation.
Designs and maintains an AWS Data Lake and Lakehouse platform, focusing on data ingestion, transformation, storage, security, and governance to ensure scalable, reliable, and cost-efficient data pipelines.
Lead day-to-day BAU data engineering operations and production support for a Singapore-based insurance company, focusing on AWS and Snowflake data platforms, pipeline development, and data migration.
Design and maintain scalable ETL/ELT pipelines and APIs on AWS and Snowflake to support stablecoin-powered payment and corporate card products.
Builds and maintains data pipelines/ETL processes to integrate and transform enterprise data for analytics, ensuring quality and efficiency in a consulting environment.
Design, implement, and manage scalable enterprise data platforms (real-time and batch) for a major industrial/automation multinational's regional Data/AI HQ in Singapore, owning the end-to-end data lifecycle.
The Senior Data Engineer will design and maintain scalable data pipelines, ETL processes, and data services across hybrid environments. The role involves collaborating with stakeholders to support analytics and MDM initiatives using technologies like Spark, Kafka, and cloud data platforms.
Build and modernize scalable Python backend services and data ingestion pipelines on a large-scale enterprise data platform using Python, SQL, Snowflake, and Databricks.
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