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Senior Java engineer leads large-scale data migrations and builds petabyte-level ETL pipelines using Java, Spark, and cloud platforms, while mentoring teams and ensuring data integrity.
Senior Big Data Engineer designs and builds scalable data pipelines and platforms using Spark, Hadoop, and cloud-native tools to support analytics and ML workloads.
Design and govern enterprise AI architectures on Databricks, including MLOps pipelines, Unity Catalog governance, and generative AI use cases like RAG and LLM integration.
Designs, builds, and deploys AI/ML models and data pipelines to production, optimizing performance and collaborating with cross-functional teams.
Lead the design and delivery of scalable cloud data pipelines and platforms, mentor engineers, and enforce data governance and DevSecOps practices for a retail/FMCG company.
Lead a team to design and maintain fraud-risk data platforms, build ML models for real-time detection, and ensure regulatory compliance while driving AI innovation in a banking context.
Leads design and maintenance of scalable data pipelines and ETL processes for UK clients, using Python, Spark, SQL, and cloud platforms to ensure reliable, high-performance data infrastructure.
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.
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