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Design and build scalable Azure data pipelines and Lakehouse architectures using ADF, Synapse, PySpark, and Delta Lake, ensuring secure, governed data flows for enterprise clients.
Build and maintain cloud-based data pipelines and modern data platforms for a global financial firm, using Python, Spark, and Azure.
Builds and maintains data pipelines on Azure and Microsoft Fabric, ingesting batch/streaming data with PySpark/Databricks and orchestrating workflows via Data Factory and ADX.
Builds reliable data pipelines and BI dashboards to make information accessible for technical and business teams using SQL and tools like Power BI or Tableau.
Lead a team to build and maintain Azure-based data pipelines and storage, using Databricks, Synapse/Fabric, and CI/CD to ensure high-quality, performant data flows.
Senior backend developer building and maintaining Tier1 GBO systems for treasury and derivatives, with accounting processes and reporting in an international environment.
Backend developer using PL/SQL to build and maintain treasury and derivatives processes in a financial-sector product team.
Leads the design and deployment of production-grade AI systems, including multi-agent workflows and RAG architectures, using GCP and MLOps/LLMOps pipelines.
Leads the design and deployment of production-grade AI systems, including multi-agent workflows and RAG architectures, using GCP and MLOps/LLMOps pipelines to scale genAI across global operations.
Designs and governs OT/SCADA data architecture for industrial clients, integrating real-time telemetry with Azure analytics while enforcing unified naming and governance standards.
Build and operate a global renewable-energy data platform, engineering pipelines and AI-ready datasets on Azure/Microsoft Fabric to power analytics and ML at scale.
Lead a team to build and maintain a high-volume marketing analytics platform’s data pipeline, designing S3-backed data lakes and near-real-time processing with AWS tools like Athena and EKS.
Lead a team building and optimizing large-scale marketing analytics pipelines on AWS, designing ETL workflows with Airflow and S3-backed data lakes for near-real-time processing.
Lead a team to build and maintain S3-backed data pipelines and real-time analytics for an AI-driven marketing platform using Airflow and AWS services.
Owns and scales the data pipeline for a marketing analytics platform, designing OLAP workloads on S3, managing ETL with Airflow, and leading a team of senior engineers on AWS.
Lead a team building and optimizing an S3-backed OLAP pipeline for a marketing analytics platform using Airflow, Athena, and AWS EKS.
Lead a team to build and maintain ETL pipelines and analytics infrastructure for a marketing analytics platform using AWS, Airflow, and OLAP tools.
Lead the design and governance of ETL pipelines and data lake architecture for a large-scale marketing analytics platform using AWS S3, Athena, and EKS.
Build and maintain backend services and frontend interfaces for a marketing analytics platform using Python (FastAPI/Flask) and React/TypeScript.
Build and maintain data pipelines that curate experimental and synthetic structural biology data (.cif, PDB) to train AI models for drug discovery in a hybrid Dublin role.
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