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HCHP: Senior Data Engineer
Design and build scalable cloud-native data pipelines and analytics-ready datasets using Azure, Databricks, PySpark, and Delta Lake to support enterprise reporting and analytics.
Data Engineer – Cloud Pipelines & Analytics
Builds cloud data pipelines and warehouses in Snowflake/Azure to feed predictive models; writes Python and SQL daily.
Lead Azure Data Engineer
Lead the design and optimization of scalable Azure data pipelines using Databricks, PySpark, and ADF, while mentoring engineers and collaborating with cross-functional teams.
Azure Cloud Data Engineer: Lakehouse Pipelines
Designs and optimizes Azure cloud data pipelines for a Microsoft Fabric-powered lakehouse, building ETL processes and ensuring data quality while collaborating with analysts and architects.
Power BI - Data Engineer
Designs and builds data pipelines using Power BI, Azure Data Factory, Databricks, and Python to deliver business insights and automate reporting.
Azure Data Engineer
Build and maintain scalable ETL pipelines using Azure Data Factory, Synapse, Databricks, and Spark to process and optimize data solutions.
Senior Data Engineer (Databricks & Azure)
Build and optimize scalable data pipelines on Databricks and Azure, using PySpark, Python, and SQL to power analytics and reporting for the organization.
Data Engineer - Data Architecture & Engineering
Designs and optimizes Azure Synapse data pipelines, builds star schemas, and monitors performance using Dynamic Management Views for analytics workloads.
Data Software Engineer
Build and maintain data solutions for airline and rail customers using C#/.NET, SQL, APIs, and cloud platforms like Azure.
Data Engineer – Snowflake
Build and optimize Snowflake-based ETL/ELT pipelines, tune queries, and maintain cloud data platforms for enterprise clients in a managed-services setting.
Azure Data Engineer
Design and maintain Azure-based data pipelines and Medallion Architecture using PySpark, Azure Databricks, and Data Factory to clean, transform, and deliver enterprise reporting data.
Senior Azure Data Engineer: ETL & Cloud Pipelines
Build and maintain scalable ETL/ELT pipelines and data models on Azure for analytics and operations, collaborating with data scientists and business teams.
Senior Data Engineer (PySpark & Microsoft Fabric)
Build and maintain scalable data pipelines using PySpark and Microsoft Fabric to move and transform data into analytics-ready datasets.
Senior Data Engineer - PySpark, Fabric & Azure
Designs and builds scalable data pipelines using PySpark, Microsoft Fabric, and Azure services to centralize data into warehouses and lakehouses.
Azure Data Engineer | Hybrid Quezon City
Designs and maintains Azure-based data pipelines and ETL workflows using Data Factory, Synapse, and Databricks to enable data-driven decisions.
Oliver Wyman - Data Engineer - Mexico City
Designs and maintains scalable data pipelines and infrastructure using Databricks, SQL, and Python to support data-driven consulting initiatives in a hybrid Mexico City role.
Senior Data Engineer
Senior Data Engineer builds and maintains scalable ETL pipelines in Azure for Manulife’s data warehouse, integrating diverse sources and ensuring data quality and governance.
Data Engineer Azure - FULLREMOTE
Build and maintain scalable data pipelines using Python, SQL, Spark, and Azure tools to support analytics and data science workflows.
HCHP: Senior Data Engineer
Design and build scalable cloud-native data pipelines and analytics-ready datasets using Azure, Databricks, PySpark, and Delta Lake to support reporting, analytics, and business operations.
Senior Data Engineer — Azure Data Factory & Pipelines
Design and build Azure Data Factory pipelines for clients in healthcare, industry, finance, and transportation, using Azure Data Lake and Databricks.