Data Engineer

Looking for a Data Engineer / BI Developer to support the development, maintenance, and enhancement of data platforms and analytics solutions. You will work with cross-functional teams to build data pipelines, create dashboards, troubleshoot technical issues, and support cloud-based data products. Key Responsibilities Support daily operations of data platforms, including job monitoring, error handling, testing, and recovery. Build, maintain, and optimise data pipelines and data integration processes. Develop interactive dashboards and reports using Tableau or Amazon QuickSight. Write SQL and Python scripts for data extraction, transformation, and analysis. Investigate and resolve technical issues such as connectivity, API, and service failures. Document technical solutions, data pipelines, and system changes. Collaborate with infrastructure and product teams to support cloud-based data solutions. Implement DevOps practices, including CI/CD pipelines and unit testing. Monitor system performance, usage, and security events. Ensure data pipelines comply with data governance standards, policies, and best practices. Requirements Bachelor's Degree in Computer Science, Computer Engineering, Information Technology, or a related discipline. 3–7 years of experience in Data Engineering, Business Intelligence, Data Science, Software Engineering, or IT Infrastructure. Strong proficiency in SQL and Python. Experience developing dashboards using Tableau or Amazon QuickSight. Good understanding of dashboard design and user experience (portfolio or sample work is an advantage). Strong analytical and problem-solving skills. Able to work independently and manage multiple priorities in a fast-paced environment. Preferred Skills Experience with AWS or other cloud platforms. Knowledge of DevOps tools and CI/CD pipelines. Experience with Infrastructure as Code (Terraform). Experience in server, database, or network administration. Experience administering Tableau Server, Talend, Microsoft SQL Server, or SAS Viya. Proficiency in PowerShell. Familiarity with Agile development methodologies. Experience with SHIP-HATS or similar DevOps platforms is an advantage. Interested candidates are encouraged to submit their resumes outlining their relevant experience and achievements to sherriyang(@)talentvis.com or click apply! **We regret to inform that only shortlisted candidates would be notified** EA License No: 04C3537 EA Personnel No: R22106683 EA Personnel Name: Yang Hui Shan, Sherri