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Build and maintain data pipelines in Databricks/Azure, clean and validate financial data, and document ETL processes to support analytics and reporting for a Mexican fintech.
Build and maintain ETL pipelines with Python (PySpark) and Azure Synapse Analytics to power data warehousing solutions.
Build and maintain ETL pipelines in Azure Synapse using PySpark and SQL, design data warehouses, and ensure data quality for clients.
Senior Data Engineer builds and maintains scalable data pipelines and platforms to power analytics and AI products, using SQL, Python, cloud tools, and modern orchestration like Airflow.
Build and maintain enterprise-scale data pipelines using Microsoft Fabric, Python, PySpark, and SQL to deliver analytics-ready datasets and Power BI reports.
Designs and builds scalable ETL/ELT pipelines and data warehouses using Azure Synapse, Fabric, and Databricks, optimizing SQL queries and implementing Medallion architectures.
Build and maintain cloud-based data pipelines using Databricks, PySpark, and Azure Synapse to feed AI forecasting models for a finance client.
Designs and builds scalable ETL/ELT pipelines and data warehouses on Azure Synapse, Fabric, and Databricks, optimizing SQL queries and Medallion architectures for HR analytics.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines and cloud data solutions for manufacturing analytics and AI/ML at a global materials-science company.
Build and maintain GCP-based data pipelines using Python, PySpark, Airflow, and BigQuery to process streaming and batch data for enterprise clients.
Builds ETL pipelines in Azure Synapse using PySpark to move and transform data for client projects.
Maintains and troubleshoots Palantir Foundry data pipelines, monitors data health, and provides L2 support using Python, SQL, PySpark, and TypeScript.
Lead a data engineering team to design and scale a robust, end-to-end data architecture for a gaming platform, ensuring reliable reporting, analytics, and LLM consumption while optimizing AWS costs and performance.
Principal Data Engineer builds and scales cloud data pipelines using Databricks/PySpark, DBT, Airflow, and Snowflake to power analytics for retail, CPG, and fintech clients.
Design and build enterprise data pipelines and platforms using PySpark, Python, SQL, Azure and Databricks to turn raw data into insights for clients.
Lead hands-on design and build of scalable cloud data pipelines and platforms for manufacturing analytics and AI/ML, using Python, Spark, and AWS.
Designs and maintains Azure Synapse ETL pipelines in Python (PySpark) to move and transform data for analytics and reporting.
Designs and builds ETL pipelines in Azure Synapse using PySpark, models star schemas, and ensures data quality and performance for clients.
Designs and builds scalable data pipelines on Azure using Databricks, PySpark, Python and SQL, focusing on Delta Lake and CI/CD for enterprise analytics.
Build and optimize scalable data pipelines using PySpark, SQL, and orchestration tools to ensure reliable data for analytics and advanced models in a hybrid environment.
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