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Build and maintain scalable data pipelines and ETL processes using SQL, Python, Databricks, and PySpark to deliver reliable, high-quality data solutions for analytics and reporting.
Build and maintain OKX’s risk-control data warehouse, design real-time/offline pipelines, and deliver metrics/indicators to support trading-platform risk decisions using cloud and big-data stacks.
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.
Build and maintain scalable data pipelines, models, and frameworks to support Illumina’s genomics and healthcare analytics, using Python/Scala/Java and containerization tools.
Build and govern data pipelines and products for a trading firm, integrating vendor datasets and ensuring reliability for traders and researchers using SQL, Python/Java, and modern data tech.
Senior Data Engineer builds and maintains DRW’s unified data platform, integrating vendor datasets and ensuring high-quality pipelines for traders and quant researchers.
Build and maintain DRW’s Unified Data Platform, designing pipelines to ingest trading, research, and back-office data using SQL, Python/Java, and modern batch/streaming tech.
Senior Data Engineer builds and maintains data pipelines to ingest vendor datasets and enable analytics for traders, quants, and back-office teams at a global trading firm.
Senior Data Engineer builds and maintains DRW’s unified data platform, integrating vendor datasets and ensuring reliable pipelines for trading, research, and back-office teams using SQL, Python/Java, and modern data tech.
Build and govern data pipelines for a global trading firm, integrating vendor datasets and enabling traders and researchers with reliable, high-quality data products using SQL, Python/Java, and modern streaming/batch tech.
Senior Data Engineer builds and maintains DRW’s unified data pipelines, integrating vendor datasets and ensuring reliability for trading, research, and back-office teams using SQL, Python/Java, and modern batch/streaming tech.
Build and maintain robust data pipelines and architectures to integrate diverse health data sources, enabling AI-driven insights for public health programs in Singapore.
Design and deliver AI-ready data platforms, ML pipelines, and GenAI-specific data flows for clients using cloud ecosystems like AWS, Azure, and GCP.
Build and maintain Azure-based data pipelines using PySpark, Synapse, and Azure DevOps to ingest, transform, and orchestrate data for analytics and reporting.
Build and maintain scalable observability infrastructure, including time-series databases and distributed tracing systems, to monitor TikTok's production services and ensure stability.
Build and maintain real-time and batch data pipelines for AI models in Singapore’s transport sector, ensuring high-quality, governed data for production use.
Design and build scalable data infrastructure for a media company, including data lakes, customer platforms, and AI-powered analytics to drive audience and business decisions.
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.
Lead a small team to design, build, and scale data pipelines and platforms using Python, SQL, and cloud tools, ensuring reliable data for analytics and ML products.
Designs and maintains cloud data infrastructure on AWS and Databricks, building ETL pipelines and optimizing storage/processing for analytics using Python/Java/Scala.
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