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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.
Build and optimize scalable data pipelines on Databricks using the Medallion architecture, SQL, and PySpark to deliver modern data solutions for enterprise clients.
Build and optimize scalable data pipelines on Databricks, implementing Medallion architecture and SQL transformations for enterprise clients.
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 data pipelines and lakehouses using Microsoft Fabric and Power BI, automating ingestion, transformation, and CI/CD workflows for analytics solutions.
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.
Senior Data Engineer builds and scales a unified data ecosystem for 60+ brands, designing ETL pipelines, data models, and governance to power analytics and AI across team.blue’s ecommerce platform.
Build and maintain data pipelines and warehouses for AI projects, using PySpark, Databricks, and Azure services to centralize and process large datasets.
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 Google Cloud-based media data pipelines, ETL processes, and dashboards to track billions of ad impressions and drive ad-tech performance insights.
Designs and builds scalable Azure Databricks data pipelines using PySpark and SQL to transform and optimize data for a modern lakehouse platform.
Data Engineer builds pipelines and models to link bio-sample identifiers with internal datasets for a pharmaceutical company’s GenAI initiative, using Spark, AWS, and CI/CD.
Senior PySpark Data Engineer builds scalable data pipelines in Python and SQL to power Lookiero’s ecommerce personalization platform.
Builds scalable data pipelines and modern analytics platforms using Databricks, Spark/PySpark, and cloud tech to process and analyze large datasets.
Designs, builds, and optimizes Azure-based data pipelines and architectures using PySpark, Delta Lake, and Databricks to ensure efficient, secure data flows between systems.
Build and optimize scalable data pipelines on Databricks using Spark/PySpark and Medallion architecture for modern data platforms.
Build and maintain AWS-based data pipelines that ingest and transform structured data into Redshift using PySpark, SQL, and ETL/ELT tools.
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.
Data Engineer building ETL pipelines, data models, and dashboards for a multinational insurer using SQL, Python, PySpark, and Power BI.
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