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Builds and optimizes Shopee’s e-commerce data warehouse and real-time analytics systems using big data tools (Spark, Flink, Kafka) and SQL, while exploring AI-driven data solutions.
Builds and maintains Python-based data pipelines and infrastructure using Cloudera CDP/CDSW and Hadoop to process large datasets securely.
Builds ETL/ELT pipelines in Python and SQL to process mobile, IoT, and app data, then visualizes results in Tableau or Power BI.
Build and maintain robust data pipelines and architectures to integrate diverse health data sources, enabling AI-driven insights for public health programs in Singapore.
Build and optimize data pipelines and applications using Hadoop, Spark, Python, and Airflow to power Singtel’s 5G, cloud, and analytics platforms.
Build and maintain scalable ETL pipelines and data warehouses to power TikTok’s ad platform, ensuring high-quality data for advertiser insights and decision-making.
Build and maintain scalable data pipelines and curated datasets on a modern Lakehouse and AI data platform, using Python, SQL, Spark and Kafka to support analytics and AI use cases.
Maltem Asia is seeking a Data Engineer for a Banking Client based in Singapore. The Data Engineer will support the design and implementation of Quantexa-based solutions for Financial Crime (AML/Fraud). The role will…
Designs and maintains large-scale data pipelines and warehouses using Hadoop, Spark, and SQL, transforming raw data into analytics-ready datasets.
Build and maintain Azure-based data pipelines using PySpark, Synapse, and Azure DevOps to ingest, transform, and orchestrate data for analytics and reporting.
Designs and maintains scalable data pipelines, ETL processes, and warehouses for mission-critical systems, using tools like Informatica, Spark, and Python to support analytics and AI-driven decision support.
Build and maintain scalable observability infrastructure, including time-series databases and distributed tracing systems, to monitor TikTok's production services and ensure stability.
Builds streaming and batch data pipelines to power TikTok’s marketing intelligence and data-driven ad strategies using Hadoop and Spark.
Backend engineer building scalable data services for TikTok’s international e-commerce platform, optimizing storage, queries, and integrating large-scale models to power analytics and business growth.
Lead/engineer AI & data pipelines for Singapore’s Home Team, building big-data analytics, computer vision, and ML systems while ensuring compliance and security.
Lead the design and delivery of scalable data pipelines and real-time analytics for a major bank, using Java, Python, SQL, Hadoop, Spark, Kafka, and containerized deployments.
Build and scale TikTok’s ad data platform, designing streaming/batch pipelines and OLAP systems to process petabyte-scale datasets that power advertiser decisions.
Build and optimize big-data pipelines using Spark, Scala, Elasticsearch, and Quantexa software on OpenShift, integrating data for compliance/AML analytics.
Design and maintain scalable data pipelines, ETL/ELT processes, and cloud-based data warehouses using Spark, SQL, and cloud platforms like AWS/Azure/GCP.
Designs and optimizes ETL/ELT pipelines and data warehouses using Teradata, Hadoop, Spark, and Informatica for enterprise-scale data processing.
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