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Lead the design and governance of real-time and event-driven data architectures using Kafka and Azure services, partnering with engineering teams to build scalable, secure financial data solutions.
Build and scale high-throughput data pipelines and feature stores for fraud detection and risk decisioning using Kafka, Spark, and AWS, enabling ML models and real-time rules to combat global financial fraud.
Build and maintain large-scale data pipelines and processing components using Python, SQL, and Big Data tech like Spark and Kafka for a global social media platform.
Lead the architecture of AI-powered home-health platforms, defining reference designs, governance, and cross-system integrations for CenterWell’s pharmacy and clinical data ecosystems.
Enterprise Architect Zions Bancorporation’s Enterprise Technology and Operations (ETO) team is transforming what it means to work for a financial institution. With a commitment to technology and innovation, we have…
Who We Are IgniteData is a thriving, cutting-edge technology business shaping the future of clinical trials in collaboration with some of the largest global pharmaceutical and healthcare organizations globally .…
Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more…
Build and maintain scalable data pipelines and integrations to feed AI and analytics across BEUMER’s intralogistics systems, using SQL, ETL/ELT, APIs, and modern data platforms.
📍 Client: lead international bank 🗣️ Recruitment: phone screen with our recruiter + 2 on-line meetings with hiring managers 🗺️ Hybrid work: 6 days per month from the office in Cracow Verita HR is an international…
Administers Atlassian Cloud platforms (Jira, Jira Service Management, Confluence) for a global bank, driving migration from Data Center to Cloud while coordinating DevSecOps delivery initiatives, governance, and cross-team collaboration.
Design and run validation tests for AI-powered perception systems in autonomous trucks, using real-world and synthetic data to ensure safety and accuracy.
Lead a team to design and scale an AWS-based data platform, building pipelines, standards, and governance for analytics and future AI use cases.
Lead AI programs and projects for a semiconductor company, coordinating cross-functional teams to deploy AI/ML and agentic automation solutions with strong governance and measurable outcomes.
Senior analyst builds AI-driven workforce insights and models to guide HR decisions, using Snowflake, dbt, Python, and LLM/NLP on people data.
Designs and builds scalable Azure-based data pipelines and Power BI dashboards to deliver enterprise analytics and self-service BI for business stakeholders.
Build and deploy an AI agent platform using Python and Kubernetes to integrate autonomous agents with internal and external systems.
Build and maintain geospatial data pipelines and visualization tools for intelligence analysts using Python, GDAL, GeoParquet, and FOSS4G stacks like QGIS and GeoServer.
Build and maintain scalable data pipelines and MLOps tooling to deploy, monitor, and version machine-learning models in AWS and GCP.
Designs and governs enterprise-scale data architectures on Microsoft Fabric, Azure, and core systems, ensuring secure, performant integrations and AI/ML integration while enforcing governance and continuity standards.
Czym będziesz się zajmować? Analiza zgłoszonych problemów z obszaru raportowania i hurtowni danych oraz współpraca w zakresie ich rozwiązywania z biznesem i trzecią linią wsparcia. Komunikacja i współpraca z innymi…
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