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Managing Consultant, Data Engineer
Builds and maintains scalable data pipelines (ETL/ELT) using cloud tools like Azure Data Factory, AWS Glue, and Snowflake, collaborating with clients to integrate data sources, optimize models, and enable analytics-driven decision-making.
Managing Consultant, Data Engineer - Minneapolis
Build and maintain scalable data pipelines and ETL/ELT processes using cloud tools like Azure Data Factory, AWS Glue, Snowflake, and Databricks to help clients unlock data insights.
Principal Consultant, Data Engineer - Minneapolis
Principal Consultant builds and maintains scalable data pipelines and cloud-based analytics platforms for clients, using tools like Azure Data Factory, Snowflake, and Databricks.
BackEnd Developer l Multinacional tecnológica
Senior Backend Developer building an Agentic AI platform on Azure using Node.js/.NET, Azure OpenAI, and vector search, with data pipelines and LLM evaluation.
Sr Data Engineer
Build and maintain scalable data pipelines and warehouses for RBC’s Market Risk systems using Java/Scala, Spring Boot, and big data tools like Spark and AWS Glue.
Senior Data Engineer
Design and build scalable data pipelines, APIs, and data models in Snowflake, DBT, and Azure Data Factory to support analytics and operations for a global seafood company.
Data Engineer II - Cloud Pipelines & Data Governance
Designs and maintains cloud-based data pipelines using Snowflake, DBT, and Azure Data Factory to enable analytics and governance.
Data Engineer
Build and maintain Azure-based data pipelines and analytics-ready datasets for Alberta’s environmental regulatory platform, using Databricks, Synapse, and Python to support compliance and decision-making.
Analytics Engineer | Business Analytics & Data Quality
Builds and maintains data pipelines, KPIs, and ML models using Python, SQL, Databricks, and PySpark to turn raw data into business insights and decisions.
Analytics Engineer | Business Analytics & Data Quality - marbella
Build and maintain data pipelines and models using Python, SQL, PySpark and Databricks to turn raw data into KPIs and business insights for a product-focused team.
Senior Data Engineer | Databricks y Azure Data Factory - valència
Build and optimize cloud-native data pipelines using Databricks, Azure Data Factory, Spark, Delta Lake and MongoDB to turn raw data into reliable, scalable analytics platforms for enterprise clients.
Middle Data Engineer (Azure Databricks)
Build and maintain cloud data pipelines using Azure Databricks, PySpark, and Delta Lake to power analytics and BI for enterprise clients.
Data Engineer (Snowflake/Azure) - Remote - valència
Design and build scalable cloud data pipelines on Snowflake and Azure, using dbt, Airflow, Python, Docker and Kubernetes to power enterprise analytics and decision-making.
Data Engineer (Databricks)
Senior Data Engineer to build and run a Databricks-based lakehouse that powers dynamic pricing and BI for high-volume retail, using Medallion architecture, PySpark/SQL, and Azure Data Factory.
Data Engineer (Databricks)
Senior Data Engineer building and operating Databricks-based pipelines for dynamic pricing and BI in high-volume retail, using Medallion architecture, PySpark, and Azure Data Factory.
AWS Data Engineer - Remoto
Build and maintain AWS-based data pipelines, ETL/ELT processes, and Redshift models to transform raw data into business insights using Python, PySpark, SQL, and cloud tools.
Data Engineer with Azure DevOps
Build and automate data pipelines in Azure Data Factory and MLOps tooling in Azure DevOps to move and transform data for analytics and AI workloads.
Data Engineer
Builds and maintains scalable data pipelines on Azure Cloud, using PySpark, Azure Synapse, Data Factory, and ADLS Gen2 to process, transform, and automate large datasets for business needs.
Data Engineer
Designs, builds, and maintains enterprise data pipelines, warehouses, and BI dashboards to support analytics and decision-making using Python, SQL, and cloud tools like Azure and Snowflake.
Data Test Automation Engineer
Designs and runs automated tests for ETL/data pipelines in Azure, using Python and SQL to validate data integrity and transformations.