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Designs and maintains ETL workflows using Python, Spark, Hive, and HDFS, optimizing SQL across Oracle, Teradata, or SQL Server.
Builds and optimizes data pipelines, warehouses, and ETL processes using Python, SQL, Hadoop, and NoSQL to deliver analytics and insights for cross-functional teams.
Builds and maintains data pipelines, ETL workflows, and reporting dashboards for clients using Python, PySpark, SQL, and tools like Tableau and Cloudera.
Build and maintain ETL pipelines, ensure data quality, and collaborate with teams to deliver reliable data products for TikTok's ad platform.
Lead data engineering and analytics initiatives for a leading Asian bank, building scalable ETL pipelines and delivering insights via Qlik Sense dashboards to drive business decisions.
Lead the design and deployment of GenAI solutions for insurance, including RAG pipelines, vector databases, and LLM fine-tuning on AWS to deliver context-aware AI capabilities.
Designs and maintains scalable data pipelines for a global gaming studio, optimizing ETL processes with SQL, Spark, and Hive to process large-scale datasets.
Build and optimize a global payment data warehouse, pipelines, and AI apps (LLM agents, RAG, analytics) for ByteDance’s fintech business.
Build and optimize data pipelines and real-time systems for a bank using Java, Spark, Python, and Hadoop ecosystem tools to support AI-driven analytics and risk scoring.
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.
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.
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…
Build and maintain scalable backend systems for TikTok’s Trust and Safety platform, focusing on content moderation, risk detection, and abuse prevention.
Designs and maintains large-scale data pipelines and warehouses using Hadoop, Spark, and SQL, transforming raw data into analytics-ready datasets.
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.
Lead a cloud-based data engineering team to build and maintain robust data pipelines, migrate legacy systems to Snowflake and AWS Glue, and ensure high-quality data flows for analytics and reporting.
Designs and maintains ETL workflows and data pipelines using Informatica PowerCenter, Python, Spark, and SQL for financial data processing.
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 maintain scalable data pipelines and architectures using Python, Hive, and Spark to enable analytics and insights.
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