Top Data Jobs in Singapore

The role involves managing day-to-day operations of Zscaler services, troubleshooting incidents, policy administration, and integration management while ensuring secure and reliable user connectivity.

As a Data Engineer, you will design and maintain efficient data pipelines, manage geospatial data, and collaborate with various teams to support data-driven products for Singapore Government Agencies.

The role focuses on building data foundations for LLMs, overseeing data pipelines, sourcing, cleaning, validating, and optimizing data for AI models.

The intern will support the Data & Analytics team by conducting assignments, organizing tasks, undergoing training, and contributing to team projects under supervision.

The Growth Data Analyst will create dashboards, analyze data using SQL and Databricks, collaborate with teams, and develop models to enhance marketing strategies.

The Data Engineer will develop and optimize data pipelines using Snowflake and Azure Data Factory, ensuring data quality and modeling to meet business needs while collaborating with technical and business teams.

Analyze DTC & sales performance, design measurement plans, maintain dashboards, and collaborate with teams to drive data-informed decisions.

Analyze customer service performance, validate customer service signals, build dashboards, and partner with stakeholders for data-informed decisions.

As a Full-Stack Engineer, you will develop infrastructure for data science applications, integrating full-stack development, cloud infrastructure, and supporting data systems.

Lead development of enterprise analytic data products, execute data strategies, and communicate technology concepts while guiding and mentoring teams.

The Product Deployment Lead connects platform products to live projects, ensuring adoption and deployment readiness while translating operational feedback into improvements. They oversee regional alignment and product fidelity to enhance project outcomes and customer confidence.

The Senior Network Engineer oversees global network operations, leads large-scale projects, and ensures network reliability and performance. Responsibilities include designing network systems, managing migrations, collaborating with cybersecurity, and maintaining documentation.

As a Data Engineer at Xtremax, you'll design, build, and maintain data pipelines, collaborate with various teams, and transform data for analytics.

The Data Architect will design and maintain data architecture frameworks, create data models, and provide solutions for data architecture. Must drive change management and understand analytics trends.

The role requires managing large Big Data projects, focusing on Hadoop ecosystem architecture and development with specific technologies like Spark, Hive, and Java, among others.

The Big Data role requires expertise in Hadoop, Spark, and various development tools, focusing on Big Data analytics and architecture.

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 IBM FileNet/Data Cap Administrator is responsible for the installation, configuration, and administration of IBM FileNet and Datacap applications, as well as performing system maintenance and upgrades.

The Data Analyst will work with users and technical teams to implement data warehouse solutions, perform data quality checks, and deliver functional specifications. Banking experience is essential.

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.

Collect and analyze data related to user behavior and market trends. Develop data visualizations and support A/B testing for product features.

The Data Engineering AVP will lead technical delivery for large data projects, focusing on developing cloud solutions and managing multiple vendor teams in a financial transformation context.

The Data Engineer is responsible for designing and maintaining scalable data systems, building data pipelines, and collaborating with teams to support analytics and AI use cases.

Manage project lifecycles, develop and execute project plans, collaborate with stakeholders, and ensure timely delivery within budget while mitigating risks.

The intern will solve deep learning and computer vision tasks, design and deploy models, develop tests, and communicate with the team.