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Build and maintain scalable data pipelines for AI/ML projects using Python, PySpark, SQL, and cloud platforms like AWS/GCP/Azure.
Build and optimize scalable data infrastructure, ETL/ELT pipelines, and microservices to transform raw data into actionable insights for enterprise clients using Python, SQL, cloud platforms, and big data tools.
Senior Data Engineer builds scalable Microsoft-based data pipelines and lakehouse architectures for enterprise clients across finance, government, energy, logistics, and healthcare.
We are looking for a Software Engineer to join our Data Integration team in Amsterdam. The Data Integration team builds and operates the platform that moves data into, through, and out of Samba TV: ingestion from…
Build ultra-low-latency Java systems that power a global quantitative trading firm’s execution and analytics platforms, optimizing distributed computing for microsecond performance gains.
Build and maintain a Python-based ETL framework that ingests, transforms, and delivers financial data using Spark, Azure Databricks, and Airflow.
Builds and maintains Java-based financial systems using Spring, JPA/Hibernate, and SQL, collaborating with architects and teams to deliver secure, scalable solutions.
Build and scale high-throughput backend services and data pipelines in TypeScript/Node.js and AWS, handling large datasets and distributed systems for a SaaS company.
Build and maintain full-stack web apps using React/Angular on the front end and Node.js/Express on the back end, plus AWS services and DevOps pipelines.
Design and build scalable backend services in Java/Python, containerize with Docker, and orchestrate microservices on Kubernetes across AWS, Azure, and on-prem environments.
Build and maintain backend APIs and services for telecom VAS applications using .NET, Java, NodeJS, or Python, with a focus on microservices, Docker, Kubernetes, and message brokers.
Builds high-throughput banking back-end APIs in Java, .NET, or Node.js, using cloud-native and distributed systems to process millions of daily transactions.
Build and maintain high-performance data pipelines that bridge operational technology (OT) systems like SCADA and IoT sensors with cloud analytics in the oil and gas sector, using Azure, Python, and Spark.
Design and build scalable data platforms for industrial IoT and AI in oil & gas, using Azure cloud services and real-time streaming pipelines.
Builds scalable data pipelines and AI/ML models for anti-financial-crime systems, using Python, LLM frameworks, and GCP tools to enable intelligent automation and agent-based solutions.
Build and maintain a secure, scalable data/ML platform on AWS SageMaker, EKS, and Azure DevOps to enable AI model experimentation and deployment for healthcare.
Build and own scalable data pipelines and analytics platforms to support AI adoption and business impact, collaborating with cross-functional teams and mentoring junior engineers.
Build and optimize scalable data pipelines on Databricks using Spark, Delta Lake, and Unity Catalog to power analytics and ML workflows for enterprise clients.
Build and scale real-time cloud communications backends in Java, integrating AI tools to improve APIs, media control, and distributed systems for a global platform.
Design and build scalable data pipelines and models on Cognite Data Fusion, integrating industrial data with Python, SQL, and cloud services to power AI-driven decision-making for energy, manufacturing, and utilities.
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