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Senior Data Engineer builds and optimizes cloud data pipelines for financial clients, using SQL, Azure/Snowflake/Databricks to turn raw data into analytics-ready formats.
Build and deploy large-scale AI solutions for Microsoft’s enterprise customers, using Python/C++ and cloud platforms to analyze data and deliver Responsible AI outcomes.
Design and build scalable data pipelines and Lakehouse infrastructure using Azure and Databricks to power analytics and AI for a global risk advisory firm.
Designs and builds scalable data pipelines on Azure and Databricks to integrate and transform enterprise data for analytics and reporting.
Design and build scalable data pipelines across AWS, GCP, or Azure using Databricks, Snowflake, and dbt to enable analytics and AI solutions for enterprise clients.
At NCS Australia, we believe in doing technology services better. Our commitment to quality, focus on people, and willingness to challenge traditional thinking set us apart. Our team brings this belief to life by…
Build and maintain scalable data pipelines and cloud-based platforms using AWS, Python, Spark, and Databricks to power Sportsbet’s analytics and AI-driven products.
Build and maintain scalable data pipelines and cloud-based data platforms using AWS, Python, Spark, and Databricks to power Sportsbet’s analytics and AI-driven products.
Design and build scalable data pipelines using Microsoft Fabric, Python, and Azure Synapse for analytics and reporting across finance, government, and other sectors.
Design and build scalable data pipelines on Databricks and Azure Fabric, implementing governance, IaC, and CI/CD for secure, high-quality data solutions.
Design and maintain secure data pipelines and a Medallion architecture on Delta Lake to deliver analytics and insights for a healthcare nonprofit.
Build ML models and data pipelines for fraud detection and payment optimization in a global fintech platform.
Build and deploy scalable data pipelines and ML models for fraud detection, risk management, and customer analytics in the financial sector using Python, Spark, and cloud platforms.
Build and maintain data ingestion pipelines using PySpark, SQL, Databricks, and Kafka to feed analytics and GenAI systems, while assisting with RAG and data virtualization layers.
Build and optimize distributed data pipelines using Scala/Java/Python, Spark, Kafka, and Delta Lake/Iceberg, then deploy them on GKE with Helm for AI-driven networking analytics.
Design real-time and offline data architectures for TikTok’s Lakehouse systems, optimizing data lakes and enabling scalable ML training/inference with Flink, Paimon, Iceberg, Delta Lake, and Hudi.
We are looking for an experienced Data Engineer (Cloud) to join our growing team. The ideal candidate should have hands-on expertise in designing and developing cloud-based data solutions using AWS, Databricks, Python,…
Design and build cloud-based data analytics infrastructure using AWS, Databricks, and IDMC, focusing on healthcare data pipelines and ETL/ELT workflows.
Build and maintain scalable data pipelines on Databricks and Azure, integrating diverse sources and ensuring clean, reliable data for analytics and ML workloads.
Design and build Singapore’s government-wide data infrastructure, including Databricks-based Lakehouse pipelines and governance tooling, to securely share and derive value from public-sector data.
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