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Overview Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky…
The Data Solutions Engineer designs and maintains data models, reports, and visualizations to support business intelligence and operational needs. The role involves enforcing data governance and collaborating with engineering teams to integrate data pipelines using tools like Power BI, Fabric, and Snowflake.
Designs, develops, and maintains Power BI dashboards, SQL-based data models, and ETL/ELT pipelines on Azure to support ALCOVA Mortgage's analytics and reporting needs in a fully remote setting.
Azure Cloud Engineer designing, building, and maintaining secure, automated Azure infrastructure and platform capabilities for data and AI solutions using Terraform, Azure DevOps, and core Azure services in a regulated banking environment.
Senior Data Solutions Engineer designing scalable data integration layers, pipelines, and data warehouses using Databricks, Microsoft Fabric, Snowflake, Python, and SQL for a consulting firm serving compensation platform clients.
Data Engineer building scalable data pipelines on GCP (BigQuery, Cloud Composer, Terraform) using SQL and Python, based in Poland.
Senior Data Engineer designing and maintaining data/AI platforms on Microsoft Fabric, working on lakehouse architecture, data pipelines, data modeling, CI/CD, and MLOps in Poland.
Build and maintain reliable data pipelines, support data integration and transformation, and collaborate with senior engineers on technical delivery using Azure Data Factory, Azure Synapse, and Microsoft Fabric.
Senior Data Engineer building and maintaining ELT/ETL pipelines and scalable data models in Snowflake, contributing to end-to-end data platform architecture and collaborating with finance and analytics teams.
Data Engineer building data integration, ETL/ELT pipelines, and Power BI reporting solutions using the Microsoft Fabric ecosystem for enterprise clients.
Data Engineer on the People Analytics team building and maintaining Microsoft Fabric data pipelines for HR reporting, using SQL, Python/PySpark, and Medallion Architecture patterns.
Senior Data Engineer designing, building, and maintaining enterprise data and AI platforms primarily using Microsoft Fabric, Azure, and Azure AI services — including data pipelines, Lakehouse solutions, and Generative AI/RAG applications.
Data Engineer building and integrating data pipelines using Microsoft Fabric, Azure Synapse, and Python/PySpark, with a focus on data quality validation and collaboration with risk teams in a hybrid role.
Build and maintain HR data pipelines in Microsoft Fabric following Medallion architecture, processing people analytics data for reporting and working with engineering teams and business stakeholders. Core tech: SQL, Python/PySpark, Microsoft Fabric.
Overview IT Data ManagementTeam | Atlas At Atlas, we’re more than a moving company. We’re a family of companies delivering transportation and logistics solutions across the globe. Through a trusted network of quality…
Job Description & Responsibilities Persistent Systems is seeking a Data Analyst to join our team in our New York City headquarters. The Data Analyst will transform complex operational, financial, customer, product,…
Infrastructure Ontario (IO) is advancing a renewed enterprise-wide data strategy focused on building strong data foundations—including data and AI governance, data management, a centralized analytics platform, and data…
Data Engineer at an industrial digitalization consultancy building scalable data pipelines, data warehouses, and data lake solutions for customer projects, primarily using dbt, Snowflake, Databricks, SQL, and Azure/AWS.
The Senior Data Engineer will build and maintain a centralized data warehouse using Microsoft Fabric, PySpark, and SQL to support enterprise-wide analytics. The role involves designing scalable data ingestion pipelines, implementing medallion architecture, and applying AI-powered engineering practices.
Senior Microsoft Fabric Specialist combining engineering, solution design, and client advisory. Responsible for the full data platform lifecycle from design through production, working with Lakehouse, Data Factory, pipelines, and Power BI integration within Microsoft Fabric.
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