Top Data Jobs in Singapore

The Cloudera Data Engineer is responsible for building and managing data pipelines and platforms, focusing on the Cloudera Hadoop ecosystem while collaborating with data teams.

Lead the design and implementation of a secure, scalable cloud data platform on AWS, integrating various tools for data management and analytics while ensuring compliance and security.

Lead the implementation of data analytics strategies, managing interdisciplinary teams to deliver data projects, overseeing budgets, and ensuring client engagement.

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

The Data Engineer will optimize data infrastructure, develop scalable ETL processes, establish data governance, and collaborate with data teams to ensure data accuracy and performance.

The Technical Specialist leads certification projects, mentors staff, establishes client relationships, and promotes CSA Group services, enhancing customer satisfaction and sales targets.

Lead data warehousing strategies in Asia Pacific and Japan, guiding customers on architecture and decisions. Act as a trusted advisor, support field teams, and present at events to establish market position.

Lead the Application Solutions division with full P&L accountability, driving growth through client engagement, market strategies, and operational excellence.

The Software Applications Development Engineer develops and improves applications, tests them, communicates with stakeholders, and ensures alignment with client needs and performance requirements.

Leverage structured and unstructured data to solve business problems, develop machine learning models, and work on AI applications for financial services.

The Data Manager oversees engineering project data management, ensuring accurate data collection, configuration of data systems, and training project teams on management tools.

The GPS Associate will support market data through software solutions, automation, and collaboration within cross-functional teams while participating in a two-year developmental program.

The Emerging Enterprise Account Executive will engage with customers, strategize sales approaches, and manage both technical and business conversations to drive value delivery and increase account growth.

The role involves developing and optimizing both offline and real-time data pipelines, ensuring data quality and collaborating across multiple teams to meet business requirements.

Responsible for designing, developing, and implementing Big Data products and backend systems, with a focus on on-chain data within Web3 applications.

Lead design and implementation of Big Data architectures on Alibaba Cloud and AWS, optimize performance, ensure data quality and security, and build data pipelines.

The Data Scientist role involves designing AI-driven solutions for gaming, using Reinforcement Learning and collaborating with engineers to enhance game experiences.

As a Principal Transformation Consultant, you will advise clients, develop strategies, deliver proposals, and lead workshops to drive business transformation and optimize operations.

The role involves collecting and analyzing complex data to provide insights, creating dashboards, and collaborating with teams to drive digital growth and strategy.

As a Transformation Consultant, you'll lead strategic projects, engage with clients, identify business opportunities, and support sales to enhance organizational capabilities.

The Data Management Analyst supports data management initiatives, performs data validation and reconciliation, and collaborates with stakeholders for data quality and governance.

Drive market success for Workday's Open Platform products by leading sales cycles, educating C-suite executives, and implementing adoption strategies for AI technologies.

The role involves developing an analytics platform, optimizing marketing campaigns, advising on MarTech strategies, and leading client workshops, with a focus on enhancing client digital maturity.

The role involves maintaining the Market Data Platform, developing scripts for automation, and engaging with stakeholders to optimize systems and document solutions.

The Data Engineer designs and maintains data architectures and pipelines, processes datasets, optimizes ETL processes, and collaborates with teams to support data-driven decisions.