A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
Islandwide Contract Non-executive 1 year exp Information Technology $5,500to$6,200
Monthly
1 applicationPosted 08 Jul 2026Closing on 07 Aug 2026
Roles & Responsibilities Data Engineer (ETL) Company Overview Zenith Infotech (S) Pte Ltd, founded in 1997, delivers advanced IT professionals and solutions to enhance productivity and competitiveness. They support clients with staff augmentation for long-term projects across IT companies, consulting firms, system integrators, government, and MNCs. Job Description We are looking for a Data Engineer with ETL experience to develop and maintain data integration solutions that support business intelligence and analytics. The ideal candidate is passionate about building reliable, scalable data pipelines and ensuring high-quality data across multiple systems. Job Responsibilities Design, develop, and maintain ETL/ELT pipelines for data integration. Extract, transform, and load data from databases, APIs, and other data sources. Develop and optimize SQL queries and data workflows. Perform data cleansing, validation, and transformation to ensure data quality. Monitor, troubleshoot, and optimize ETL jobs and pipeline performance. Collaborate with business users and technical teams to deliver data solutions. Work with cloud platforms (AWS, Azure, or Google Cloud) and data warehouse technologies. Maintain technical documentation and support data governance best practices. Job Requirements Degree in Computer Science, Information Technology, Engineering, or equivalent. 1-2 years of relevant experience or internship/project experience in Data Engineering or ETL. Proficiency in SQL and Python. Basic knowledge of ETL tools (e.g., SSIS, Talend, Informatica, Apache NiFi) is an advantage. Familiarity with relational databases (PostgreSQL, MySQL, SQL Server) and NoSQL databases is a plus. Understanding of data warehousing concepts and cloud platforms (AWS, Azure, or Google Cloud). Strong analytical, problem-solving, and communication skills.
Job Details Work Week:
Monday to Friday (8:30 AM•6:00 PM)
Work Arrangement:
Full Onsite•
Central Region Salary:
S$5,500-S$6,200 (with bonuses•varies)
Benefits:
Annual Leave:
18 days
Medical Leave:
14 days Group Medical Insurance Other leave benefits as per MOM guidelines EA 20S0237
