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CSIT, a Singapore strategic technology agency, seeks a Data Engineer in Singapore to enhance data flows between systems, refine pipeline architecture, and design scalable data products with cross-functional teams. The core stack is Python or Java, SQL/NoSQL databases, and ETL tools such as NiFi or Airflow.
We are seeking a Data Engineer to join our Data & Systems Engineering team. In this role, you will be responsible for enhancing and optimizing the data flow between our systems and refining our data pipeline…
Design and maintain high-throughput pipelines that ingest and transform unstructured data into vector embeddings for semantic search, powering national security analytics.
Data Engineer building scalable data pipelines and semantic search systems with vector embeddings to process hundreds of thousands of documents daily for national security insights at a Singapore government tech agency.
Leads development of mission-critical big-data analytics systems for national security, designing scalable web apps and APIs to detect/analyze threats using Java/Kotlin, Spring Boot, Kafka, and AI tools.
Lead engineering teams to build and maintain resilient big-data platforms, guiding technical decisions and fostering innovation in a collaborative government environment.
Build and maintain data pipelines, backend services, and frontend interfaces to enable data discovery and AI-driven insights for decision-making using Python, Java, JavaScript, React/TypeScript, and Spring Boot.
Build and maintain scalable data pipelines and APIs using Java/Spring Boot to process and manage data for government systems and AI applications.
Build and maintain high-performance data pipelines for national security, processing large datasets to extract insights using Scala/Java, Spark, Kafka, and Hadoop.
Designs and builds scalable data-processing backends in Java/Spring to power government digital solutions.
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