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Builds and maintains data pipelines on GCP (BigQuery, Kafka, Airflow) to power IG Group’s analytics, compliance, and AI initiatives, focusing on Medallion architecture, data quality, and real-time event processing in a regulated fintech environment.
Senior Data Scientist bridging ML research and production, owning end-to-end pipelines, observability, and platform reliability for LLM/agent systems at an AI-first software company.
Oversee enterprise data platform operations—data warehousing, ETL pipelines, BI, and cloud analytics—driving modernization via CI/CD, cloud adoption, and AI-driven automation at a healthcare organization.
COMPANY OVERVIEW We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new…
The Data Engineer will design and develop scalable data pipelines and processing applications on Google Cloud Platform to support Sysco's global foodservice operations. The role involves working in an Agile environment to maintain data solutions using Python, SQL, and various ETL/ELT tools.
Security researcher on the Cortex team focused on defending Kubernetes and hybrid cloud environments through detection research, attack simulation, and behavioral analysis.
Rabbit is looking for a Technical Account Manager to own the customer relationship from the moment a PoC begins through conversion, renewal, and expansion — across both our European and North American accounts. You…
Build and maintain scalable data products using SQL, Snowflake, and Looker to deliver trusted datasets and BI reports for business stakeholders.
Principal Data Engineer designs and leads enterprise-scale data platforms on GCP, integrating AI/ML and ensuring reliability, security, and governance for global-scale systems.
Transform Your Career as AVP, Marketing Technology and Operations Ready to lead a radical, high-velocity transformation of an enterprise go-to-market engine? Trimble is looking for a visionary executive to architect…
Principal Data Engineer builds and owns IG’s GCP-based data platform, migrating legacy systems and setting standards for batch/real-time pipelines, data quality, and self-service access to trusted data.
Owns a production fleet of AI agents for an e-commerce company, ensuring reliability, scalability, and governance. Builds new agents, integrates APIs (LLM, Shopify, marketing), and implements evaluation/monitoring frameworks to harden agent performance and cost efficiency.
Builds and secures a governed GCP foundation for an AI-driven e-commerce platform, migrating legacy workloads, designing cloud-native SDLC, and enabling scalable infrastructure for AI agents and data operations.
Builds and maintains scalable data pipelines for migrating/transforming financial data across systems, standardizing schemas, and enabling enterprise visibility into billions of dollars in payments. Core tech: Python/Scala/Java/C#, Databricks/Spark, cloud warehouses, ETL/ELT, and data quality tools.
Designs and maintains data pipelines, databases, and ETL processes to extract insights from complex datasets (e.g., customer, product, finance) for logistics optimization. Uses Python, SQL, cloud platforms, and MDM to automate workflows and improve data quality.
Lead a data science team to build predictive models and insights for media brands, focusing on customer lifetime value, engagement, and personalization across apps and newsletters using Python, SQL, and ML.
Build and ship recommendation models that power a personalized shopping feed, using ML to learn user taste from sparse signals and scale across millions of products.
Leads the technical vision for a next-gen network scanning platform, solving complex challenges like SSH connection pooling and large-scale data ingestion while ensuring FedRAMP compliance and production stability. Focuses on vulnerability detection and mentoring engineers.
Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology…
Designs and optimizes scalable data platforms for cybersecurity analytics, focusing on distributed batch/streaming pipelines, latency tuning, and cloud-native infrastructure.
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