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Senior Data Engineer builds and optimizes cloud-based data pipelines and warehouses using Spark, Kafka, and cloud platforms (Databricks, Snowflake, Azure) to enable real-time analytics and reporting for enterprise clients.
Build and optimize cloud-based data pipelines for clients in finance, healthcare, logistics, mobility, and climate sectors using Spark, Kafka, and cloud platforms like Azure/GCP.
Design and deploy high-performance data analytics solutions using Azure and Microsoft Fabric, building ETL pipelines and data models while collaborating with cross-functional teams.
Leads the migration of an on-premise data warehouse to the cloud, auditing existing systems, designing scalable cloud architectures, and guiding teams through implementation and documentation.
Build and maintain scalable Azure data pipelines using Azure Data Factory, Synapse, Databricks, and Fabric to transform raw data into actionable insights for BI and analytics teams.
Design and build Microsoft Fabric lakehouse architectures, ingest multi-source data, and orchestrate pipelines for a 6-person data team.
Design and deploy modern data analytics solutions on Microsoft Azure and Fabric, building ETL pipelines and optimizing data models for BI insights.
Leads Microsoft Fabric-based data-platform modernization for enterprise clients, designing architectures and mentoring teams.
Design and lead modern, scalable data platforms on Azure and GCP, build robust pipelines with Spark/Databricks/Dataflow, and mentor teams while optimizing costs and governance.
Build and optimize data pipelines using Microsoft Azure and Fabric to power analytics and reporting workflows.
Build and optimize data pipelines using SQL, Spark, and cloud platforms like Microsoft Fabric, Databricks, and Azure for clients, while delivering BI solutions with Power BI.
Senior Data Engineer designing Azure and Microsoft Fabric pipelines, ETL workflows, and BI solutions for enterprise clients, with a focus on data modeling, optimization, and cross-team collaboration.
Design and build robust cloud data architectures on Microsoft Fabric and Azure for enterprise clients, from ingestion to production, using Data Vault 2.0, Azure Data Factory, Synapse, and Data Lake.
Senior Data Engineer designs and implements Microsoft Fabric and Azure-based data solutions, integrating ETL pipelines, BI, and AI for enterprise clients while collaborating with cross-functional teams.
Build and maintain a unified data platform on Azure and Microsoft Fabric, designing robust data pipelines and BI solutions using Azure Data Factory and SQL.
Senior data engineer designing and building Microsoft Fabric-based analytics pipelines for clients, using Azure Data Factory, SQL, and cloud architectures to deliver BI, Big Data, and AI solutions.
Designs and builds scalable Azure and Microsoft Fabric data pipelines using Python, SQL, and Spark, ensuring data quality and governance for analytics and AI workloads.
Design and build Azure-based data analytics solutions using Microsoft Fabric for clients, focusing on modern data platforms and complex data models.
Builds and optimizes data pipelines using Microsoft Azure and Fabric to support analytics and reporting for a public-sector organization.
Senior Data Engineer designing and building scalable data pipelines on Microsoft Fabric and Azure, using Python/PySpark, SQL, and Power BI to deliver analytics solutions for enterprise clients.
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