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Leonardo S.p.A. è alla ricerca di un Data Analyst per le sedi di Roma Laurentina e Catania. La risorsa analizzerà grandi volumi di dati, progetterà pipeline di elaborazione batch e streaming e collaborerà con i team di…
Cloud Data Engineer at BIP's xTech center building and managing Big Data/cloud platforms, implementing batch and real-time data pipelines, optimizing ML models for scalable execution, and providing technology advisory to clients.
Martech Data Engineer responsible for implementing batch and real-time data pipelines on Google Cloud, transforming and processing structured and unstructured data for marketing tech applications, using technologies like Scala for distributed processing and working with tools like Google Analytics and Tag Manager.
Support multinational clients by designing and implementing DevOps pipelines, automating infrastructure, and integrating cloud-native solutions using tools like Terraform and CI/CD platforms.
Designs and implements DevOps methodologies, CI/CD pipelines, and infrastructure automation for multinational clients, bridging technical solutions with business needs in enterprise environments.
Lead a Vietnam-based engineering team building and operating Grab's real-time stream processing platform (Apache Flink, Kafka, CDC), focusing on self-service capabilities, production reliability, and team growth.
Develop AI, GenAI and Agentic AI prototypes using Azure, Databricks, and LangChain for a Trading & Supply team. Responsibilities include building RAG solutions, deploying agents, and managing scalable AI workflows with Python and SQL.
Build and operate data pipelines for reports, analytics, and machine learning, ensuring quality and scalability, while collaborating with cross-functional teams.
We Are Waiting for You Hi there!I am Laura, the recruiter for this position. Nice to meet you!First, a little bit about what I like the most about working at TDC: The environment here is incredibly collaborative and…
Company description: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY…
Job Description: As a Data Engineer, you will be responsible for designing, building, and maintaining robust data pipelines and architectures that support analytics, reporting, and business intelligence initiatives…
About Strava Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal…
Builds and maintains scalable data pipelines and warehouses to ensure reliable, governed data for business intelligence and analytics, using Azure Databricks, Kafka, Spark, and SQL.
Build and deploy AI-native data infrastructure at Apple scale, designing LLM agents, retrieval systems, and evaluation pipelines to transform how users access iCloud content across devices.
Business area: Nestle Canada Inc. Location: North York, ON located at 25 Sheppard Ave W, North York, ON M2N 6S8; Hybrid A Little Bit About Us While Nestlé is known for KitKat, Gerber, Nescafe, and Häagen-Dazs, our…
Lead Azure-based data platforms for Rabobank, designing scalable pipelines, optimizing performance, and driving data-driven decisions with Azure services like Synapse, Databricks, and Fabric.
Designs and builds Spark/Scala pipelines to process large datasets, integrates Elasticsearch for querying, and deploys solutions on OpenShift. Optimizes performance, collaborates with DevOps, and ensures pipeline reliability.
Build and optimize scalable Data Lakehouse and AI pipelines using SQL, Python, PySpark, and AWS/GCP to power cybersecurity AI products.
Lead the design and optimization of scalable Data Lakehouse architectures and ETL pipelines using SQL, Python, PySpark, and AWS/GCP to power AI-driven cybersecurity solutions.
Builds and maintains data pipelines, warehouses, and lakes to enable analytics and business decision-making, specializing in Azure cloud tools like Databricks and Data Factory.
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