Data Engineer with ETL Experience | Permanent
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
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