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Designs and maintains Snowflake-based data pipelines and scalable models using SQL, Python, and ETL/ELT tools for a product company.
Build and maintain cloud data pipelines on GCP, designing ELT/ETL processes and serverless data engineering solutions to feed a corporate data warehouse.
Builds and maintains GCP-based ELT pipelines and a corporate data warehouse using serverless tools and Airflow.
Build and maintain cloud data pipelines for a major Chilean bank, integrating AWS and Azure services to ensure reliable, high-quality data for analytics and BI.
Senior Data Engineer builds and maintains ETL/ELT pipelines, data lakes, and governance for BI and analytics in AWS and Azure using Python and SQL.
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.
Own end-to-end data pipelines, architect Snowflake and dbt models, and deliver finance-ready insights for FP&A and leadership in a fintech context.
Build and maintain cloud data pipelines using Databricks, SQL, and AWS to feed analytics and data-science teams.
Designs, builds, and optimizes cloud data pipelines using Databricks, SQL, and AWS for analytics and data science teams.
Build and maintain a federated data platform (SUMA+) for Nubox and its subsidiaries, integrating BI, APIs, and AI agents while ensuring data governance and traceability.
Build and optimize a Snowflake-based data platform, design scalable data architectures, and own ETL/ELT pipelines using SQL, Python, and cloud tools.
Senior Data Engineer builds and maintains Snowflake-based data platforms, implements governance and privacy workflows, and designs scalable ETL/ELT pipelines using Python/Bash.
Builds and maintains GCP-based data pipelines, ingesting and transforming data while ensuring regulatory compliance and data quality.
Builds and maintains scalable data pipelines using Python, PySpark, Airflow, and cloud data warehouses on AWS/Azure to process large volumes of data.
Build and maintain scalable data pipelines on Google Cloud, enabling reliable analytics and modernizing legacy systems with Dataform, Python, and SQL.
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.
Build and maintain scalable data pipelines and infrastructure to support AI-driven services using Python and SQL.
Design and maintain a Snowflake-based financial data pipeline and dbt models for revenue recognition and close processes, ensuring accuracy for finance teams and AI consumers.
Senior Data Engineer builds and maintains Azure Databricks pipelines in Python to process and transform data for Accenture’s internal tech teams.
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