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Cloud Solutions Engineer — Azure & GCP Data Pipelines
Designs and builds Azure and GCP data pipelines for Collections operations, automating workflows with Azure Data Factory, Synapse, and SQL Server.
ETL Developer – AI-Driven Data Pipelines
Build and optimize AI-assisted ETL pipelines to integrate and transform healthcare data for analytics and compliance, using SQL, Talend/SSIS, and cloud tools.
Data Engineer Senior (Cloud Azure)
Build and optimize scalable data pipelines on Azure, integrating diverse sources into efficient ETL and warehouse solutions using Databricks, Data Factory, and Spark.
Data Engineer Sr- Remote Latam – ID #00199
Senior Data Engineer to design, build, and optimize data pipelines and warehouses, migrating 1,000 pipelines to Snowflake using Talend, Active Batch, Docker, and GitHub.
DATA ENGINEER/DBA – Remoto Latam ID #00289
Build and optimize cloud data pipelines and databases using SQL, Python, and Azure tools to support analytics and reporting for clients.
Azure Data Engineer - Remote, Flexible Hours, Global Impact
Design and implement Azure-based data pipelines using Data Factory, Synapse Analytics, and Microsoft Fabric, with Power BI integration for reporting.
Senior Data Engineer
Senior Data Engineer builds and maintains enterprise data products on Microsoft Fabric, designing scalable ELT pipelines and lakehouse solutions while collaborating with business stakeholders to deliver trusted, reusable data assets.
Hands-on Data Engineer - Snowflake & ADF Pipelines
Builds and maintains data pipelines in Snowflake and Azure Data Factory, troubleshoots incidents, and collaborates with technical and non-technical teams.
Data Engineer
Build and maintain ETL pipelines with Azure Data Factory and Databricks, process large datasets with Spark, and deploy ML models using Python and Azure.
Azure Data Engineer — Remote, Scale Analytics & Pipelines
Designs and maintains scalable Azure-based data pipelines and cloud-native architectures, ensuring data quality and collaborating with teams to meet business needs.
Data Engineer - Databricks & Snowflake
Build and maintain Snowflake-based data pipelines and EDW platforms using Azure Data Factory, monitoring jobs, resolving incidents, and optimizing performance in a 24/7 support model.
Databricks Data Engineer: Lakehouse Pipelines & PySpark
Build and maintain large-scale data pipelines using PySpark on Databricks, implementing ETL/ELT processes and lakehouse architectures for analytics.
Azure Data Engineer: Pipelines, DBT & Synapse Expert
Build and maintain Azure-based data pipelines and warehouses using ADF, Synapse, and DBT to enable analytics and reporting.
Data Engineer
Designs and builds scalable data pipelines and warehouses using Databricks and Azure, ensuring clean, reliable data for analytics and AI across food, beverage and pharma sectors.
Senior Data Engineer
Design and maintain scalable data pipelines using Databricks, Spark, and Delta Lake, integrating diverse data sources for analytics and ML workloads.
Data Engineer (Azure)
Build and maintain Azure-based data pipelines and warehouses using T-SQL, Synapse, Data Factory, Databricks, and streaming services to deliver clean, reliable data for analytics and modeling.
Junior Data Engineer
Build and maintain data pipelines and cloud-based architectures for Fortune 500 clients, coding primarily in Python or Scala and working with Spark, Azure, and Databricks.
Data Engineer
Design and build a scalable data warehouse/lake and ETL/ELT pipelines using Databricks and Azure Data Factory to feed analytics and AI workloads across GEA’s global operations.
Data Engineer
Builds and maintains scalable ETL/ELT pipelines and data platforms using Python, SQL, PySpark, and Azure services like Databricks and Data Factory.
DevOps Engineer
Build and maintain CI/CD pipelines for .NET apps and SQL Server across Azure and on-prem, using GitHub Actions, Azure Pipelines, and IaC tools like Terraform or Bicep.