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MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference…
Designs and builds scalable data pipelines and platforms for mobile programmatic advertising, processing billions of events daily using big data tech, cloud platforms, and GenAI.
Scrum Master leading agile teams to deliver data-integration solutions for Brazil’s electricity market, removing blockers and aligning sprints to strategic goals.
Senior Data Engineer builds and migrates Java-based ETL pipelines to cloud, working with SQL, REST APIs, and AWS S3/PostgreSQL to move and integrate data between platforms.
Design and deploy production-grade Databricks platforms for enterprise clients, leading end-to-end cloud data engineering projects on AWS/Azure.
Design and build large-scale enterprise data architectures, ETL/ELT pipelines, and cloud data platforms in AWS for a pharmaceutical client.
Designs and builds scalable AWS data architectures, data warehouses, and Data Lakes, plus ETL/ELT pipelines for pharmaceutical-sector clients.
Designs and builds scalable data architectures, Data Lakes, and ETL/ELT pipelines on AWS for a pharmaceutical client.
Build and operate enterprise-scale infrastructure platforms for JPMorgan Chase in Dublin, writing production code and leveraging AI-native practices to automate workflows and reduce operational toil.
Lead a team building scalable data pipelines and warehousing on AWS for HR analytics, using PySpark, Kafka, and Terraform to integrate disparate systems and deliver business intelligence.
Lead a team building scalable data pipelines and warehousing solutions on AWS for HR analytics, using PySpark, Kafka, and Terraform to integrate disparate systems and deliver business intelligence.
Lead a team building and scaling the data infrastructure that powers real-time trading and operational analytics for a fintech platform serving 22+ million investors.
Lead a team building and scaling the data infrastructure that powers real-time trading and operational analytics for a fintech platform serving millions of investors.
Principal Data Engineer at Microsoft CoreAI designs and owns global data/analytics foundations for AI platforms, building scalable pipelines and governance to power AI-driven products.
Designs and maintains enterprise data pipelines, warehouses, and lakehouses using SQL, Python, and PySpark to support analytics and AI initiatives.
Build and maintain scalable data pipelines and warehouses using BigQuery, dbt, Python, and GCP services to ensure reliable, high-quality data for analytics and reporting.
Build and maintain analytical data models, DAX measures, and Power BI reports to deliver business insights, using SQL, Power Query/M, and Azure-based pipelines.
Senior Data Engineer designs and builds scalable cloud data platforms (Medallion architecture) and ETL/ELT pipelines for enterprise BI and performance management projects using GCP tools like BigQuery, Dataflow, and Looker.
Build and maintain scalable data pipelines on Google Cloud, model BigQuery warehouses, and collaborate with ML teams to deploy models via Vertex AI.
Build and validate data pipelines for a UK & Ireland credit lender’s centralized data lake, harmonizing schemas, enforcing quality, and preparing clean datasets for risk modeling under GDPR constraints.
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