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Designs and maintains pipelines for high-frequency sensor data, using Python, SQL, and time-series databases to support maritime automation and IoT systems.
Designs and maintains scalable data pipelines and warehouse models to process raw data into high-value assets using PySpark, Spark, or Hadoop.
Data Engineer designing and optimizing scalable data pipelines and infrastructure using Python, Scala, or Java with big-data frameworks like Spark, Hadoop, or Flink.
Data Engineer designing and maintaining scalable data pipelines, data warehouses, and cloud-based data platforms using SQL, Oracle PL/SQL, Python, and AWS services to support analytics and business decision-making.
Design, build and maintain AWS-based data pipelines and warehouses, developing ETL/ELT processes and data models to support analytics and business decision-making.
The Data Engineer will design and maintain scalable ETL pipelines and ensure data quality and security within the company's cloud-based data warehouse ecosystem. The role involves collaborating with data analysts and scientists to support data-driven initiatives.
Data Engineer building and maintaining ETL pipelines and automating data workflows on cloud platforms (Alicloud, AWS, Azure, or GCP) for a fashion retail company.
Data Platform Engineer managing Big Data platforms and Enterprise Databases to support data analytics using SQL and Big Data technologies, collaborating with data scientists, analysts, and developers within Singapore's Internal Security Department.
Lead Data Engineer providing regional technical leadership for the Data & Analytics platform across Southeast Asia, shaping scalable data solutions from ingestion in Microsoft Fabric to enterprise reporting and visualization in Power BI.
Lead a regional data platform using Microsoft Fabric for ingestion and Power BI for reporting, designing scalable solutions and guiding Southeast Asia teams.
Manage and optimize real-time market data systems, interacting with exchanges and vendors to ensure reliable, scalable data distribution using Refinitiv RTDS, Bloomberg, and cloud platforms.
Design, build and maintain data pipelines and reusable datasets on a Snowflake-centric data platform supporting analytics, reporting, governance and AI use cases. Core technologies: Snowflake, SQL, Python, Azure Data Factory.
The Data Engineer will design and operate high-throughput data pipelines to ingest unstructured data, generate vector embeddings, and support semantic search for national security analytics.
Build and optimize ETL/ELT data pipelines on Azure Databricks, structure data layers, integrate with ADLS Gen2, and support Databricks Genie deployments for self-serve analytics.
Land Transport Authority in Singapore is seeking a Senior/Executive Data Engineer for Traffic & Road IT to own and scale data infrastructure, bridging hands-on pipeline development with cloud architecture. You will…
Builds and maintains data pipelines using SQL, Python, and Databricks to create reliable datasets and analytics-ready outputs for Aon’s actuarial and business teams in Singapore.
Design and implement data pipelines for maritime IoT sensor data using Python, SQL, time-series databases (InfluxDB, TimescaleDB), Kafka streaming, and cloud warehousing on AWS or Azure.
The Data Platform Engineer manages data infrastructure and optimizes platforms to support analytics, security, and data transformation workflows. The role involves collaborating with data scientists and developers to ensure high performance and availability of data systems.
The Senior Data Engineer will design and implement scalable data pipelines and ML-ready datasets on AWS using Databricks. The role involves collaborating with architects and consultants to deliver robust data solutions and governance for clients in the Asia-Pacific region.
The Ministry of Finance is responsible for the Government Procurement (GP) policies, which govern how government agencies conduct their procurement. With evolving needs of our public officers and changing procurement…
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