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Build and optimize a modern analytics platform using Microsoft Fabric and Azure cloud tools to migrate from legacy SAP BW systems, focusing on ETL pipelines, data modeling, and Power BI reporting.
Build and maintain scalable Azure data pipelines and analytics solutions using Data Factory and Synapse Analytics to support business reporting and insights.
Build and optimize Azure Synapse data pipelines and ETL/ELT processes, model data, and collaborate with business teams to deliver AI and analytics solutions.
Data Engineer Intern builds Azure-based data pipelines and insights using Fabric, Synapse, and Power BI to help clients become data-driven.
Lead a team to design and maintain large-scale Azure-based data pipelines for financial reporting, ensuring compliance and data quality across SAP-integrated systems.
Build and maintain large-scale data pipelines in Azure using Databricks, Synapse, and IDMC to feed financial reporting and governance-driven environments.
Build and maintain ETL/ELT pipelines in Azure Synapse, write PySpark and SQL stored procedures, and optimize data models for analytics workloads.
Build and optimize ETL/ELT pipelines in Azure Synapse using SQL and PySpark, ingest and model data, and collaborate with teams to deliver high-performance analytics solutions.
Senior Azure Data Engineer designs, builds, and optimizes scalable data pipelines in Microsoft Azure and Fabric, from ingestion to insights, using Synapse, Databricks, and KQL.
Build and optimize scalable data pipelines on Azure using Databricks, Data Factory, Synapse, and DevOps tools to ingest, process, and govern enterprise data.
Build and maintain data pipelines using Microsoft’s stack (Azure Data Factory, Synapse, Fabric) to integrate and transform data for analytics and AI solutions.
Designs and builds data pipelines using Microsoft Azure Synapse, Databricks, and SQL Server to process and model data for analytics and reporting.
Build and maintain scalable data pipelines using Microsoft Fabric to integrate and optimize data from ERP, CRM, and APIs for analytics and reporting.
Build and maintain cloud-based data pipelines using Azure services (Fabric, Synapse, Data Lake) and Python/SQL to turn raw data into insights for clients.
Build and optimize Azure-based data pipelines and cloud architectures, using Azure Data Factory, Synapse, PySpark, and Medallion/Lakehouse patterns to move and transform data securely and at scale.
Design, build, and optimize Azure-based data pipelines and cloud architectures, using PySpark, Azure Data Factory, Synapse, and Lakehouse patterns to move and transform data securely and at scale.
Build and maintain scalable Azure data pipelines and architectures using Data Factory, Databricks, and Synapse to ingest, transform, and integrate data for analytics and reporting.
Build and maintain data pipelines, dashboards, and warehouse models to turn business questions into trusted insights using SQL, Python, and cloud warehouses like BigQuery.
Designs and maintains Azure Synapse data pipelines and Data Lake architectures, writes Python ETL processes, and models data for renewable-energy analytics.
Build and maintain end-to-end data pipelines on Azure Synapse, model a Data Lake, and orchestrate Python workloads on AKS to deliver KPIs for renewable-energy operations and reporting.
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