Data Engineer

Job Summary Role: Data Engineer Start: ASAP Duration: 12 Months Location: Singapore We are seeking an experienced Data Engineer with 6+ years of expertise in enterprise data warehouse (EDW), ETL/ELT development, and big data engineering. The ideal candidate will be responsible for designing, developing, and optimizing scalable data pipelines and frameworks across Teradata-based data warehouse environments and modern Hadoop ecosystem platforms. This role requires strong hands-on experience in ETL development using Informatica PowerCenter, Teradata SQL, and Spark, along with deep exposure to data pipeline automation, performance tuning, and CDC (Change Data Capture) frameworks. The candidate will also contribute to building enterprise-grade data ingestion, transformation, and governance solutions supporting both structured and semi-structured data across complex enterprise systems. Requirements: - Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. - Minimum 6+ years of experience in Data Engineering, ETL development, or Enterprise Data Warehouse environments. - Strong hands-on experience in Teradata SQL and EDW/ETL development. - Proven experience with Informatica PowerCenter for enterprise ETL development. - Strong experience with Hadoop ecosystem technologies (Apache Spark, Hive, Kafka, NiFi, Iceberg, Impala, etc.) - Strong expertise in performance tuning and optimization of large-scale data pipelines. - Hands-on experience with shell scripting, BTEQ, and automation frameworks. - Strong understanding of data pipeline orchestration and workflow automation. - Experience with CDC (Change Data Capture) concepts, preferably with Java-based implementation. - Experience building frameworks for data ingestion, transformation, and automation in enterprise environments. - Strong understanding of data modeling, ETL design patterns, and data warehousing concepts. - Experience working with enterprise systems such as SAP (Oracle) fo…