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Bluetab, an IBM Company. certificados ¡Great Place to Work & Best Work to Place! como una de las mejores compañías para trabajar. Es posible que un gran número de candidatos se presenten a este puesto, así que…
Builds and optimizes big data pipelines using PySpark, Kafka, and AWS to process large-scale datasets in real-time and batch environments.
At Quantori we are seeking a Data Engineer for an ongoing Life Science project to be engaged in building data pipelines and leveraging cloud technologies. The team works in the Central European Time. Todas las…
We are still looking for the very Top Talent…and we would be delighted if you were to join our team! More in details, UST is a multinational company based in North America, certified as a Top Employer and Great Place…
¡Bienvenido/a a FCC Medio Ambiente! Inscríbase (haciendo clic en el botón correspondiente) después de revisar toda la información relacionada con el trabajo a continuación. FCC Medio Ambiente es la empresa líder del…
Build and scale Stripe’s core data pipelines and warehouses that power payments, risk, and product analytics using distributed systems like Spark, Flink, and Kafka.
Lead ML product engineering efforts—designing data pipelines, feature generation, inference pipelines, and model delivery systems—using big data frameworks like Spark, Kafka, and Cassandra with Scala/Java on Azure/AWS.
Architect and build scalable ML platforms on Azure Databricks for financial-services clients, designing MLOps pipelines, model serving, and enterprise integrations using Python/Scala/Java, Spark, and MLflow.
Position Title: Big Data Senior Developer, Marketing & Advertising Data (French Services) (Telework/Hybrid) Status of Employment: Contractee Long-Term (Durée déterminée) Position Language Requirement: French…
Builds full-stack features for Databricks' data/AI platform, focusing on scalable UI/UX and distributed systems to simplify insights from petabyte-scale data.
Senior Data Architect leading end-to-end big data platform design and implementation on AWS, including data pipelines, data lakes, and analytics/AI enablement for enterprise clients, with up to 50% travel across Canada.
Job Description What is the opportunity? In this role as a Senior Data Engineer, you will be responsible for development deliverables for the Finance Data Platform. The Platform, leverages Airflow and Databricks and…
Job Description Global Functions Technology (GFT) is part of RBC's Technology and Operations division. GFT's impact is far-reaching as we collaborate with partners from across the company to deliver innovative…
Research Engineer/Data Scientist applying big data, machine learning, and graph analysis techniques to network security telemetry and threat detection.
Junior Java Developer / Software Engineer London / WFH to £50k Are you a bright ambitious Junior Java Developer looking to progress your career? You could be joining a hugely successful and growing commodities trading…
The Data Engineer will build and maintain highly scalable, fault-tolerant data processing pipelines for Allegro's massive clickstream data. The role involves working with Scala, Java, or Python within a Google Cloud Platform environment to support large-scale batch and real-time data processing.
Dotmatics is seeking a Cloud Software Engineer to develop and maintain bioinformatics cloud products using Java and Scala on AWS. The role involves end-to-end ownership of cloud-native services, including containerization and deployment to EKS, within a hybrid work environment.
The Cloud Software Engineer will build and maintain scalable cloud services for Geneious products using Scala, Java, Docker, and AWS EKS. This hybrid role involves collaborating with scientists and engineers in an agile environment.
Build and operate data pipelines for analytics and ML, optimize data engineering solutions, and ensure data quality—working with cloud/containerization tech (ideally Azure, Kubernetes, Spark) and programming languages like Python, Scala, or Java.
The Junior Data & AI Engineer will design and build scalable data pipelines and generative AI solutions using cloud architectures, Big Data processing, and LLM frameworks. The role involves working with Python, Java, or Scala to develop ETL processes and integrate AI models into production environments.
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