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Senior Data Engineer at MAP in Barcelona builds and maintains cloud-based data pipelines and analytics models using Spark, SQL, and cloud data warehousing to improve data insights.
Build and maintain data pipelines and dashboards for Mondelēz’s Media Data Platform, integrating adtech data to deliver AI-driven insights and scalable reporting tools for internal stakeholders.
DevOps Engineer builds and maintains cloud infrastructure, CI/CD pipelines, and observability for a .NET/Python product using AWS, Terraform, and Datadog.
Build and maintain backend services for an ad-tech platform using Symfony, PHP, and RESTful APIs to serve and manage video ads across publisher sites.
Binance is looking for a skilled data engineer to design and build scalable data warehouse systems, optimize performance and contribute to data governance. The ideal candidate will have over 5 years of experience, deep…
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our…
Senior Data Engineer designs and builds cloud data pipelines and BI solutions on Google Cloud for client projects, focusing on scalable data architecture and visualization.
Build and maintain ETL pipelines in Azure Synapse using PySpark and SQL to move and transform data from APIs, databases, and files into scalable data warehouses.
Designs and optimizes GCP data pipelines, integrating GenAI to enable intelligent data workflows for analytics teams.
Build and maintain data pipelines, warehouses, and dashboards for a Peruvian tech distributor, integrating SQL, SAP HANA, and PostgreSQL sources to deliver trusted analytics for business decisions.
Build and optimize data pipelines for commercial campaigns and predictive models in a retail bank using AWS S3, Glue, SQL, and Python.
Senior Data Engineer designs and builds cloud-based data pipelines and warehouses using Google Cloud tools to deliver BI and analytics solutions for clients.
Designs and maintains data pipelines, ETL processes, and data warehouses to support analytics and business intelligence using SQL, Python, and cloud platforms.
Designs and builds data pipelines on Google Cloud Platform, integrating GenAI capabilities into data workflows using SQL and data warehousing tools.
Designs and builds data pipelines on Google Cloud Platform, integrating GenAI capabilities into data workflows using SQL and modern data engineering practices.
Builds and maintains ETL/ELT pipelines and analytics warehouses to deliver governed data insights via SQL, Python, and visualization tools.
Build and maintain cloud-based data pipelines and warehouses for clients in retail, finance, and healthcare, using Azure/GCP/AWS and modern data modeling techniques.
Build and maintain Java-based microservices and cloud-native backend systems using Spring, Quarkus, Docker, and Kubernetes on Azure.
Build and maintain cloud and on-prem data-warehouse infrastructure for card-payment analytics, using GCP BigQuery, serverless tech, and CI/CD pipelines to deliver reports for internal and external stakeholders.
DevOps engineer building and operating data warehouse platforms for a Swiss bank, collaborating with teams to ensure reliable data delivery.
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