Data Engineer

Job Title: Data Engineer (SQL / Cloud Data Platforms) Location: Singapore Employment Type: 12-Month Contract (Renewable) About the Role We are looking for a hands-on Data Engineer to support and enhance enterprise data pipelines, reporting workflows, and data integration processes. This role involves working with existing ETL pipelines and operational data systems while contributing to the team’s transition toward modern cloud-based data platforms and technologies. The ideal candidate is strong in SQL, data engineering fundamentals, troubleshooting, and data quality, with an interesting modern data platforms such as Microsoft Fabric, Azure Data Services, or cloud-based analytics solutions. Key Responsibilities Design, develop, maintain, and support data pipelines and ETL workflows across multiple systems Develop and optimize SQL queries, stored procedures, and data transformations Perform data validation, reconciliation, and data quality checks to ensure accuracy and consistency Troubleshoot and resolve data pipeline, ETL, and reporting issues in production environments Maintain and support existing SSIS workflows and related data processes Integrate data from various sources including databases, flat files, APIs, and cloud platforms Support reporting, analytics, and operational data requirements Collaborate with business and technical stakeholders to understand data requirements and implement solutions Contribute to ongoing modernization initiatives involving cloud-based and next-generation data platforms Requirements Must-Have: 3–6 years of hands-on experience in Data Engineering, ETL development, or related roles Strong SQL skills (joins, aggregations, stored procedures, data transformation, performance tuning) Experience building and maintaining ETL pipelines and data workflows Strong understanding of data validation, reconciliation, and data quality processes Experience troubleshooting production data and reporting issues Good problem-solving and analytical …