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Build and deploy ML models, analyze datasets, and create dashboards for UK/EU clients in a remote-first data science role.
Design and build scalable data pipelines and architecture using Python, SQL, and cloud platforms (AWS/Azure/GCP) to transform raw data into actionable insights for a fintech company.
Build end-to-end BI solutions for a financial-services client: design data models, ETL pipelines, and warehouses using SQL, Python/Java/Scala, and Spark.
Builds and optimizes large-scale data pipelines and ML platforms using Python/Java/C++ and tools like Spark, Hadoop, and Snowflake.
Senior engineer building and optimizing Roku’s data infrastructure to power streaming services and user experiences using Python/Java/Scala, Spark, Kafka, and cloud platforms.
Design and maintain secure data pipelines for intelligence operations, integrating and transforming classified/unclassified datasets to support GEOINT analysis and mission-critical reporting.
Build and deploy scalable ML models and data platforms in AWS and hybrid environments using TensorFlow/PyTorch, Docker, and Kubernetes.
Build and deploy ML models to improve fintech products, turning data insights into decisions with Python, R, and cloud tools.
Lead the design and implementation of data science solutions to address complex university challenges, using Python, R, and ML frameworks.
Build and maintain AWS-based ETL pipelines, data models, and monitoring for Amazon’s global network operations, migrating legacy systems to cloud-native platforms.
Builds and deploys ML models to turn subsurface data into actionable insights using Python, cloud platforms, and frameworks like TensorFlow/PyTorch.
Design and build cloud-based big data pipelines and data warehouse integrations using AWS, Spark, Python, and SQL for enterprise clients.
Design and build data pipelines and warehouses to support policy analytics for Building Commission NSW using Python/Java, SQL, and cloud/big-data tech.
Design and build data pipelines and cloud-based architectures to power analytics and reporting for Australia’s largest independent media company.
Lead a team of data engineers to design, build, and optimize data pipelines and warehouses using Python, SQL, and cloud platforms like AWS/Azure.
Design and maintain scalable data pipelines and warehouses using SQL, Python, and cloud platforms to enable analytics and AI-driven insights for enterprise clients.
Leads AI/ML projects from planning to deployment, coordinating between business stakeholders and technical teams to deliver generative AI, data science, and analytics solutions on time and within budget.
Data Engineering II RealTime CDP Position Summary: We are seeking a Data Engineer II preferably Full Stack Engineer, to focus on core data engineering work within our RealTime Customer Data Platform (CDP). This role…
Builds and maintains secure data pipelines for a sensitive government project using Python, Spark, Hadoop, and Kafka, ensuring data quality and compliance with RBAC/ABAC models.
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