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Designs ETL/ELT pipelines and Snowflake data models to move SAP data into cloud warehouses for analytics and real-time insights.
Design and build scalable ELT pipelines in Snowflake, transforming raw data into insights and ensuring high-performance analytics for clients.
Designs and maintains Azure-based data pipelines using Data Factory, Synapse Analytics, and Fabric to transform raw data into analytics-ready insights for remote clients.
Senior Data Engineer builds Snowflake-based governance and privacy workflows, automates data cleanup, and improves data quality for enterprise platforms.
Build and maintain cloud-based data pipelines and warehouses for a retail company, enabling analytics, automation, and AI-driven decision-making with Google Cloud, BigQuery, Python, and SQL.
Builds and optimizes AWS-based ETL/ELT pipelines in Python/PySpark, ensuring data quality and cost efficiency for global projects.
Build and maintain ETL/ELT pipelines and database designs to feed reliable analytics for a large insurance company’s data-driven decision making.
Designs, builds, and optimizes cloud data pipelines using Databricks, SQL, and AWS for analytics and data science teams.
Designs and maintains Azure-based ETL/ELT pipelines for a Chilean bank, using Data Factory, Databricks, Synapse, and Azure DevOps.
Build and optimize a Snowflake-based data platform, design scalable data architectures, and own ETL/ELT pipelines using SQL, Python, and cloud tools.
Designs and builds data pipelines, cloud integrations, and AI solutions for renewable-energy operations, using Python, APIs, and Power BI.
Design and maintain data pipelines (ETL/ELT) on Google Cloud Platform to ensure clean, reliable data for analytics and decision-making across teams.
Senior Data Engineer builds and maintains Snowflake-based data platforms, implements governance and privacy workflows, and designs scalable ETL/ELT pipelines using Python/Bash.
Build and maintain data pipelines, models, and BigQuery structures for Banco Falabella’s Data Lake, ensuring reliable, high-quality data for business decisions and operations.
Senior Data Engineer builds and maintains ELT/ETL pipelines, optimizes Google Cloud Platform and BigQuery, and ensures reliable data for BI, channels, and finance teams at a retail bank.
Build and maintain a modern data platform on Google Cloud Platform using Lakehouse and Medallion architecture, creating scalable pipelines and analytics-ready datasets for business teams.
Builds and maintains ETL/ELT pipelines on Azure for a Chilean bank, using Databricks, Synapse, and Data Factory to move and transform financial data.
Build and maintain robust data pipelines and platforms that power analytics and business decisions across fintech, logistics, and edtech domains using SQL, ETL/ELT tools, and data warehouses.
Build and maintain ETL/ELT pipelines and data warehouses on AWS, using Python, SQL, and PySpark to deliver clean datasets for analytics and reporting.
Senior Data Engineer builds and maintains Snowflake and dbt pipelines for a global tax-compliance platform, owning the revenue data chain from billing to financial close and ensuring outputs support finance and AI consumers.
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