Top Data Engineer Jobs in Singapore

The IT Engineer will manage and support database systems, ensure high availability, troubleshoot issues, and implement database solutions while collaborating with site customers and improving database performance and operations.

Install and upgrade database systems, manage access and backups, diagnose errors, ensure compliance, and support database operations. Develop solutions and automate processes to enhance performance and reliability.

As a Product Engineer in Advanced Data Analytics, you will utilize machine learning and AI for data analysis to enhance yield and quality. Responsibilities include developing algorithms, collaborating with cross-functional teams, promoting innovation, and driving initiatives to improve performance metrics.

As a Frontend Software Engineer at Feedzai, you'll develop the Orchestration product, focusing on data orchestration for non-technical users, collaborating in an Agile team, and promoting code quality and architecture ownership.

Lead management and technical planning of OKX's Web3 Data Platform, overseeing data processing, governance, and solutions for business growth.

Responsible for leading the design and maintenance of enterprise data warehouse, collaborating with stakeholders, ensuring data quality, and optimizing data integration processes.

Develop and deploy product-disposition solutions and algorithms using data analysis and machine learning to improve quality and reliability.

As a Senior Product Engineer, you will lead a team in advanced data analytics to improve yield and quality through machine learning and AI, develop algorithms, and enhance data infrastructure while collaborating with cross-functional teams.

Lead a team to enhance product yield and quality through advanced data analytics, machine learning, and AI. Develop algorithms and collaborate cross-functionally to drive improvements and innovation in HBM product engineering.

The Data Analytics Developer role requires experience in finance, specifically in banking and financial services, strong data analysis skills, and knowledge of PL/SQL.

The Sr Big Data Engineer will develop data pipelines using big data technologies, manage projects, and implement data modeling for analysis while ensuring efficient querying and performance.

As a Senior Data Engineer, you'll design and maintain data pipelines, translating complex requirements into scalable solutions using Python, collaborating with teams to deliver actionable insights in an Agile environment.

The Data Reliability Engineer will maintain and optimize data infrastructure, debug ETL processes, and collaborate with teams on data workflows. Requires experience in large-scale data systems and monitoring tools.

The Senior/Lead Data Engineer designs and optimizes data solutions on Alibaba Cloud, develops data pipelines, manages data warehouses, and ensures data quality and compliance.

The role involves overseeing data center infrastructure, managing teams, optimizing processes, and ensuring operational efficiency in cloud operations.

Lead the migration of data infrastructure to AWS, redesign Python scripts for AWS services, and create documentation and training for users.

Lead the migration of data infrastructure to AWS, re-architect Python scripts and automation workflows, and ensure seamless data operations with zero disruption. Create documentation, conduct training, and validate migrated systems.

Design and architect data storage solutions, create and manage data pipelines, implement automation, and ensure data quality and compliance using AWS and Databricks while collaborating with cross-functional teams.

Manage cloud infrastructure on AWS focusing on reliability and performance, build Data Lake architecture, administer databases, and ensure data quality and compliance.

As a Product Engineer in Advance Data Analytics, you will lead initiatives to enhance yield and quality using data analysis, machine learning, and AI. Responsibilities include algorithm development, data infrastructure enhancement, and collaboration with cross-functional teams.

Design, develop, and maintain data infrastructure microservices using C++, optimize for performance, debug issues, and collaborate with teams.

Develop and maintain internal Data Platform components, ensuring system scalability, high availability, and integration with data warehouses and orchestration systems. Write maintainable code and support deployment and monitoring processes.

Develop and implement Data Warehouse solutions for Risk Control, focusing on architecture, real-time applications, and report data management.

Design and develop full stack web applications for data-driven and AI initiatives, working with data scientists and business stakeholders.

The Forward Deployed Software Engineer will implement and optimize client deployments, troubleshoot issues, and develop integrations, serving as the primary technical contact for customers.