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Data Engineer
Builds and maintains scalable data pipelines using Databricks, GCP/Azure to feed AI models, RAG search, and analytics, ensuring clean, reliable datasets for machine learning and reporting.
Senior Data Engineer
Design and maintain Azure Fabric data pipelines (Bronze–Silver–Gold) to transform raw data into analytics-ready datasets for Power BI Embedded reports.
Data Engineer
Build and maintain ETL/ELT pipelines and data warehouses to feed analytics and reporting, using cloud technologies like AWS/Azure and scripting in Python/PySpark.
Marketing Data Engineer| Hybrid
Builds and optimizes SQL/Python pipelines to extract and transform marketing data from enterprise platforms, enabling audience segmentation and campaign performance analysis.
Data Engineer - Orientación Gobierno de Datos
Build and maintain data pipelines, cleanse and validate datasets, and implement ETL/ELT processes using Microsoft Azure tools for a government data governance project.
Data Engineer - Databricks
Build and migrate ETL/ELT pipelines to Databricks on AWS, using Spark, Delta Lake, and AWS Glue to process batch and streaming data for a global fund-services provider.
AWS Data Engineer - ETL Pipelines & Real-Time Data
Build and maintain ETL pipelines using Python, PySpark, AWS Glue, Step Functions, and Lambda to process and transform data for reporting and analytics.
Data Engineer
Builds and maintains Azure-based data pipelines and ETL workflows using Azure Data Factory, Synapse, Databricks, and Spark, while ensuring data quality and performance.
Data Engineer
Build and maintain scalable data pipelines using Databricks, GCP, and Azure to power AI models, RAG search, and analytics for a global enterprise.
Data Engineer
Designs and maintains data pipelines, ETL processes, and data warehousing solutions using Databricks, Python, PySpark, and Azure Data Factory to ensure efficient data flow and quality.
Data Engineer L3
Designs and builds data storage solutions, pipelines, and transformations using Databricks, Azure, SQL, and Python to support analytics and reporting.
Data Engineer
Build and maintain scalable data pipelines using Databricks, GCP, and Azure to power AI models, RAG search, and enterprise analytics for a Fortune 500 company.
Data Engineer
Builds and maintains cloud-based data pipelines in Azure/GCP using Python, PySpark, and SQL to deliver analytics and insights for business units.
Data Engineer
Design and maintain ETL pipelines and data warehouses using Azure Data Factory, Databricks, and Oracle technologies to support business intelligence and analytics.
Data Engineer
Builds and maintains ETL pipelines, data models, and Spark-based transformations on Azure and Databricks to power analytics and reporting.
Data Engineer Consultant
Designs and builds scalable data pipelines on Azure to ingest, transform, and store healthcare data for analytics using Databricks, Data Factory, and Delta Lake.
Databricks Data Engineer
Build and maintain scalable ETL/ELT pipelines on Databricks using PySpark, Delta Lake, and Unity Catalog, then surface insights via BI tools and GenAI-ready datasets.
Data Engineer
Builds and maintains large-scale data pipelines on Azure Databricks and Spark, writing PySpark/Python and SQL to process TB-scale datasets and ensure data quality.
Data Engineer
Designs and maintains scalable data pipelines and cloud-based data architectures to move, clean, and store data for analytics and reporting.
Data Engineer
Build and maintain scalable data pipelines using Databricks, GCP, and Azure to power AI model training, RAG-based search, and enterprise analytics.