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Data Engineer, SEA
Leads regional data platform design and engineering for Southeast Asia, specializing in Microsoft Fabric and Power BI to build scalable data pipelines, semantic models, and enterprise reporting solutions for cross-functional stakeholders.
Lead Data Engineer - Azure
Lead Azure-based data platforms for Rabobank, designing scalable pipelines, optimizing performance, and driving data-driven decisions with Azure services like Synapse, Databricks, and Fabric.
Senior Software Engineer - Data Platform
Designs and maintains large-scale distributed backend systems and graph-based data models for cybersecurity and AI platforms, focusing on high-throughput pipelines and production reliability.
Graduate Data Engineer
Builds and maintains Chrysos’ data platform (Snowflake + AWS) by designing ingestion pipelines, cloud infrastructure, and data models to support scientists, engineers, and analysts in mining industry tech.
Amazon Data Engineer II, Prime Video Advertising
Builds and maintains scalable data pipelines for Prime Video Advertising, using AWS tools and Python/Spark to ingest, transform, and analyze streaming/batch data for ad-driven insights.
Data Engineer
Build and maintain scalable AWS data pipelines and analytics platforms using SQL, Python, and Spark to enable business insights and reporting.
IT Systems Administrator
Design and build Microsoft Fabric and Power BI solutions for AI-ready analytics, Copilot integration, and governed data pipelines.
Senior Software Development Engineer - US Federal
Build and scale real-time observability services (monitoring, logging, alerting) for Workday’s federal platforms using Java/Python/Go and Kubernetes, ensuring high-performance data pipelines and security compliance.
Software Development Engineer - US Federal
Builds and maintains Workday’s distributed observability platform, focusing on monitoring, logging, alerting, and tracing for real-time data insights across cloud infrastructure.
Azure Infrastructure & Data Engineer
Designs and maintains Azure infrastructure and data platforms for analytics, AI/ML, and production workloads, focusing on cloud-native security, networking, and scalable data pipelines.
Azure Infrastructure & Data Engineer
Designs and maintains Azure infrastructure and data platforms for analytics, AI, and mission-critical workloads, focusing on cloud-native security, scalability, and performance.
Big Data Engineer - Python and Spark
Builds and optimizes big-data pipelines using Python, Spark, and Hadoop to process financial datasets for Citi’s data platforms.
Staff Data Engineer (Data & AI solutions)
Build and optimize scalable Data Lakehouse and AI pipelines using SQL, Python, PySpark, and AWS/GCP to power cybersecurity AI products.
Senior Staff Data Engineer (Data & AI solutions)
Lead the design and optimization of scalable Data Lakehouse architectures and ETL pipelines using SQL, Python, PySpark, and AWS/GCP to power AI-driven cybersecurity solutions.
Market Data Engineer
Engineer real-time market data feeds for a global financial markets infrastructure provider, integrating and optimizing data from exchanges and vendors to ensure low-latency, high-accuracy delivery.
Cloud Data Engineer (AWS)
Build and optimize cloud data pipelines on AWS and Databricks, integrating sources and ensuring secure, high-quality data for analytics using ETL and automation.
Lead Data Engineer
Lead Data Engineer builds and optimizes scalable data pipelines, AI/ML solutions, and cloud-native architectures to unify ASCO’s enterprise data for AI, analytics, and operations, ensuring high performance, cost efficiency, and operational reliability.
Market Data Engineer
Builds and maintains real-time financial market data pipelines, ensuring accuracy, low-latency distribution, and integration with exchanges/vendors. Core tech: FIX/TREP protocols, cloud (AWS/GCP), scripting (Python/Bash), and network optimization.
Data Analytics & Business Management- Vice President
Lead data analytics and reporting for JP Morgan’s Fund Services, building ETL workflows and Tableau dashboards to drive operational insights and improvements in financial services.