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Designs and builds scalable AI data platforms, implements GenAI workflows, and mentors engineers using Databricks, Snowflake, Python, and SQL.
Architects and builds scalable data platforms and GenAI workflows using Python/SQL and MLOps to drive AI-driven innovation in semiconductor technology.
Builds and maintains industrial data historian systems and integrations for life-sciences clients, using OPC, MQTT, Kafka, REST APIs, and cloud platforms.
Designs enterprise-scale cloud and GenAI architectures for financial clients, advising CxOs and leading migration to scalable, secure, and compliant systems.
Build and maintain scalable data pipelines and cloud-based analytics platforms using Azure, PySpark, and Power BI to power MetLife’s global insurance and financial services.
Build and maintain backend services, APIs, and infrastructure for an AI-focused product company, focusing on reliability and clean design.
Lead the design and development of an analytics platform and APIs, building scalable data solutions in Python/Scala, Spark, and cloud technologies to expose insights from a central store.
Design and build a scalable data platform and analytics suite using Python/Scala, Spark, Hadoop, and cloud tools to power APIs and insights for customers.
Designs and builds secure, scalable biomedical research apps and data pipelines using Python, Java, SQL, and Databricks in hybrid cloud environments for health science teams.
Build and productionize NLP and LLM pipelines for a SaaS quality-management platform using Python and AWS.
Build and deploy AI-powered NLP/LLM features for a SaaS quality-management platform used by global contact centers, working with Python, Hugging Face, and AWS.
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We…
Senior Data Engineer builds and optimizes cloud data pipelines for financial clients, using SQL, Azure/Snowflake/Databricks to turn raw data into analytics-ready formats.
Designs and maintains scalable data pipelines and warehouses using SQL, Python, and cloud platforms (AWS/Azure/GCP) to support business analytics and data-driven decisions.
Build and maintain scalable data pipelines on Azure using Databricks, PySpark, and dbt to support analytics and AI workloads.
Lead the architecture and development of scalable, cloud-native data platforms using Python and AWS services, designing robust ETL/ELT pipelines and mentoring engineering teams.
Builds and maintains robust data pipelines using Python/Scala, Spark, Hadoop, and SQL to enable reliable data products and analytics workflows.
Define and build a new cloud-native SaaS platform using TypeScript, Node.js, AWS, and microservices, guiding engineering teams on scalable, resilient architecture and modern practices.
Lead a team building and optimizing data pipelines in Teradata for a major bank, ensuring reliability and performance while mentoring engineers and collaborating with stakeholders.
SAP Quality Assurance Tester designs and executes end-to-end testing for SAP fixes and enhancements, managing defects and coordinating with global teams to ensure system reliability and compliance.
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