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Build and optimize data pipelines for semiconductor manufacturing using AWS, PySpark, Redshift, and Python to support analytics and AI initiatives across global fabs.
Build and maintain a full-stack enterprise data warehouse platform using Java Spring Boot, Kafka, Angular, and AWS for trade-data analytics in financial services.
Designs and builds scalable cloud solutions and modern data platforms on Microsoft Azure, focusing on cloud migration and data governance.
Designs and implements scalable Microsoft Azure cloud and data platforms, building secure batch/streaming pipelines and ensuring governance and cost optimization.
Design and build modern data analytics, Big Data, and data-warehouse solutions in AWS, GCP, or Azure, including ETL/ELT pipelines and governance using Databricks, Snowflake, and Spark.
Designs and builds secure, scalable GCP data pipelines (batch/streaming) using BigQuery, Dataflow, and Scala/Java/Python to turn raw data into business insights.
Builds and maintains cloud data pipelines using Azure Databricks, PySpark, and Delta Lake to power analytics and BI in a modern Lakehouse architecture.
Senior Data Engineer builds scalable data platforms using cloud tools (Azure/AWS), SQL, Python, and PySpark to enable data-driven decisions for global clients.
Senior Data Engineer designs and builds scalable data platforms using Snowflake and cloud providers (Azure, GCP, AWS) to enable data-driven decision-making for global clients.
Senior Data Engineer builds scalable GCP-based data platforms using BigQuery, pipelines, and modern warehousing concepts to enable data-driven decisions for global clients.
Senior Data Engineer designs and builds enterprise data platforms, ELT pipelines, and AI-ready architectures to power analytics and machine learning at a global tobacco-alternative company.
Build and maintain cloud-based data pipelines and transformations using GCP, Python, and SQL to turn raw data into business insights for enterprise clients.
Build and optimize scalable ETL pipelines, real-time data ingestion, and multi-tenant analytical databases to power sub-second BI dashboards and embedded analytics for a media-focused SaaS platform.
Build and maintain the company’s enterprise data platform, integrating source data into a Data Vault architecture and enabling analytics and AI use cases with PostgreSQL, Docker, and Azure DevOps.
Qim info SA, située à Genève, recherche un(e) Support Niveau 2 Data Warehouse pour améliorer la gestion des incidents et fournir un support technique sur les environnements Data. Le candidat idéal aura une solide…
Build and scale data pipelines using Microsoft Fabric and Power BI to support reporting, analytics, and decision-making for a healthcare services company.
Builds and maintains data pipelines and warehouses for a Swiss healthcare payer, using SQL and dbt to deliver reports and insights.
Build and maintain ELT pipelines, dbt transformations, and reporting-ready datasets for a healthcare-focused data warehouse using NiFi, dbt, and JMIX.
Designs scalable data architectures (Data Lake/Warehouse) and builds batch/real-time pipelines using modern platforms like Databricks or Microsoft Fabric, cloud (Azure/AWS/GCP), SQL and Python.
Build the data backbone for a market-intelligence platform, transforming raw editorial and behavioral data into structured insights using BigQuery, dbt, and SQL pipelines.
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