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Develops and maintains a Java-based SaaS portal platform for financial markets, focusing on backend integrations, event-driven architectures (Kafka/Flink), and system improvements to enhance scalability and reliability.
Build and deploy real-time data pipelines and integrations for enterprise clients using Java/Python, Kafka, CDC, and Kubernetes across AWS/GCP/Azure.
Build and lead CBA’s next-gen digital wealth platform using .NET, ASP.NET Core, React, and Next.js, designing scalable cloud-native services and APIs for mass-affluent customers.
Build and scale Cisco’s big-data platform using Spark, Kafka, Flink, Iceberg, and Trino to power real-time analytics and data pipelines for Webex.
Senior engineer building high-throughput, low-latency ad-attribution pipelines and real-time data processing systems that feed ML and reporting teams at a mobile-advertising platform.
Business systems analyst manages data-platform projects, gathers requirements, and delivers Tableau dashboards and ETL pipelines for Foxconn’s server-manufacturing plants.
Builds and maintains ETL pipelines and big-data processing systems for Foxconn’s server-manufacturing plants, using Apache tools, Cicada, and SQL/Python.
Build and optimize ML infrastructure at Snap, including training pipelines, inference systems, and data management, using Python/Java/Go and distributed frameworks like Spark and Ray.
As an Intermediate Data Engineer within our IDEXX Veterinary Software portfolio, you will help drive the modernization of our data ecosystem by leading data migration initiatives and building scalable cloud-based…
Build and lead CBA’s next-gen digital wealth platform using .NET, ASP.NET Core, React, and Next.js, designing scalable APIs and event-driven systems for mass affluent and high-net-worth customers.
Build and deploy deep-learning models in Python (PyTorch/TensorFlow) that generate billions of supply-chain predictions daily, collaborating with engineering and product teams.
Build and lead backend systems for Qualys' identity security platform using Java, Spring Boot, Kafka, and Flink, processing over 100M transactions daily.
Build and deploy ML models to predict delivery dates, detect failures, and optimize logistics for 50M+ monthly shipments using Python, Spark, and cloud platforms.
Build and scale ML platforms for Reddit’s Ads team, including offline experimentation, training orchestration, and agentic AI workflows to accelerate model development and deployment.
Owns the reliability and performance of Apple’s large-scale data and ML platforms, ensuring high availability and cost efficiency while automating operations and incident response.
Design and build scalable data infrastructure for a food & beverage supply-chain platform, including pipelines, warehouses, and analytics systems that power AI-driven products.
Build real-time stream processing systems using Apache Flink and Java, developing scalable, low-latency event-driven applications for global data pipelines.
Build production-grade AI systems and data pipelines end-to-end, owning schema design, ETL, FastAPI/Next.js apps, and cloud deployments on AWS/Azure.
Builds scalable ETL pipelines and data models using Java, Spark, Flink, Kafka, and NoSQL to process raw intelligence data for national security research.
Build and lead large-scale .NET full-stack systems for CBA’s wealth platforms, using ASP.NET Core, React, AWS, and event-driven architectures to power high-volume customer journeys.
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