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Designs and maintains data pipelines using Microsoft Fabric and Azure tools to build scalable analytics platforms for enterprise clients.
Build end-to-end data pipelines and analytics solutions for Oysho’s eCommerce platform using Databricks, PySpark, SQL, and Power BI to drive business decisions.
Builds and maintains data pipelines on Azure and Microsoft Fabric, ingesting, processing, and modeling data with PySpark, ADF, and KQL for analytics and reporting.
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.
Builds and maintains Azure-based data pipelines and Databricks workflows for Ayvens’ financial data platform, ensuring reliable data flows and stakeholder reporting.
Build and maintain cloud-native data pipelines and serverless Python functions on Microsoft Azure, integrating corporate systems and transforming data with Azure Databricks.
Build and maintain Python-based APIs, Azure Functions, and data pipelines for enterprise solutions using Azure SQL, Databricks, and Data Factory.
Build and maintain scalable data pipelines and platforms using tools like Snowflake, Databricks, and cloud services, collaborating with cross-functional teams to deliver reliable data solutions for business insights.
Senior Data Engineer builds and maintains scalable ETL pipelines using Python, Snowflake, and Azure, focusing on cloud data warehousing and dimensional modeling.
Build scalable data platforms and robust pipelines for Norwegian enterprises, using Python, SQL, and cloud tools like Azure, Databricks, and Snowflake to turn raw data into business insights.
Build and maintain modern data platforms (lakehouse, data warehouse) and ETL/ELT pipelines in cloud and on-prem, integrating structured and unstructured sources to enable analytics and AI solutions.
Builds and maintains Azure-based data pipelines using Databricks, Data Factory, SQL, and Data Lake Storage to support digital data transformation.
Senior Azure Data Engineer designs and builds data pipelines using Azure Data Factory, Databricks, and SQL, focusing on analytics and ML projects for an outsourcing client.
Build and maintain data pipelines in Azure Data Factory and Databricks, and support ML workflows on Azure SQL for outsourced analytics projects.
Senior Data Engineer designs and builds scalable data platforms and pipelines using Python and cloud tools (Azure, Databricks, Snowflake) to support analytics and reporting for large clients.
Build and maintain data pipelines, ETL workflows, and warehouses using Azure Data Factory, Snowflake, Databricks, SQL, and Python to support analytics and decision-making.
Builds and maintains data pipelines in Microsoft Azure, integrating sources via ETL/ELT, modeling dimensional schemas, and delivering analytics-ready datasets for Power BI.
Senior Data Engineer builds and maintains cloud data pipelines on Azure using Data Factory, Databricks, and PySpark.
Builds and maintains data pipelines in Azure, transforming raw data into clean, analytics-ready datasets for Power BI dashboards.
Senior Data Engineer builds and maintains Azure-based data pipelines using Data Factory, Databricks, and PySpark to enable analytics and reporting.
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