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Build and maintain end-to-end data pipelines and analytical models using Databricks, Microsoft Fabric, Python, SQL and Spark to deliver AI-driven insights for enterprise clients.
Design and build AI and data solutions for financial clients using cloud tech like Azure OpenAI, Databricks, and Microsoft Fabric, including LLMs and advanced analytics pipelines.
Builds and migrates a modern, cloud-native data platform on Microsoft Azure using Databricks/Fabric, Kubernetes, Terraform, and CI/CD pipelines.
Designs and builds data pipelines using Databricks and Microsoft Fabric, optimizing data workflows for AI applications.
Designs and implements Microsoft Fabric and Azure data pipelines, builds ETL/ELT workflows, and deploys AI analytics solutions to help clients make data-driven decisions.
Build and deploy ML models in Snowflake and Azure to deliver forecasting, classification, and AI-driven automation for enterprise clients, primarily in Poland.
Build and deploy ML models in Snowflake and Azure to deliver forecasting, classification, and AI-driven automation for enterprise clients, collaborating with data engineers and business stakeholders.
Designs Microsoft Fabric-based data architectures and builds ETL/ELT pipelines in Azure, then layers in AI features using Copilot and Azure OpenAI to deliver analytics solutions for clients.
Designs ETL/ELT pipelines and migrates data warehouses to Microsoft Fabric, integrating Informatica and Azure analytics tools for clients.
Build and maintain cloud-based data pipelines in Azure using Databricks, PySpark, and Python, collaborating on end-to-end data solutions for enterprise clients.
Data Integration Engineer Full-Time | Ref. #017 About OIIS At OIIS, we help technology companies grow faster through effective and well-designed recruitment processes. We operate in a tech talent & RPO model,…
Build and maintain Microsoft Fabric pipelines and data models, using PySpark and Azure tooling to move raw data through bronze, silver, and gold layers for analytics.
Builds and maintains scalable data pipelines and platforms using Microsoft Fabric and Azure, enabling advanced analytics and reporting for clients.
Senior Data Engineer builds and maintains Azure Synapse and Microsoft Fabric pipelines, transforming raw data into usable assets for clients and internal teams using Python, SQL, and Agile practices.
Builds and monitors a Microsoft-Fabric-based data warehouse, writes PySpark and T-SQL ETL/ELT pipelines, and collaborates with Power BI teams to deliver business-facing analytics.
Design and deliver Azure-based data platforms, including data warehouses, ETL pipelines, and processing frameworks using Databricks, Azure Synapse, and Fabric.
Senior Data Engineer builds and maintains Azure Synapse, Fabric, and Data Factory pipelines for global clients, ensuring reliable data integration and CI/CD workflows.
Senior Data Engineer builds and maintains Azure-based data pipelines and integrations using Synapse and Fabric to deliver analytics assets for clients and internal teams.
Senior Data Engineer builds and maintains data pipelines using Microsoft Fabric, Synapse Analytics, Python, and SQL to transform raw data into usable assets for clients and internal teams.
Design and build scalable data platforms on Azure, integrating enterprise sources with Microsoft Fabric, Databricks, and ETL/ELT pipelines to enable analytics and reporting.
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