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Designs and maintains scalable data pipelines and warehouses (e.g., Fabric, Databricks) to collect, store, and analyze data for analytics and ML, using SQL, Python, and cloud platforms.
Design and build cloud-native, scalable AI and data products using microservices, focusing on cutting-edge AI tech and societal impact.
Build and deploy AI/ML models to drive revenue growth and cost optimization across finance, insurance, and other sectors using Python and cloud-native tools.
Maintains and secures corporate LAN, WAN, and MAN networks, ensuring uptime and performance through monitoring, routing, switching, and firewall administration.
Design and build scalable ETL pipelines using Snowflake, SnowPipe, and dbt to ingest, transform, and deliver clean data for analytics and business insights.
Designs and maintains scalable data pipelines using Databricks, SQL, and Python to ensure reliable data availability for cross-functional teams.
Designs and maintains scalable data pipelines and infrastructure using Databricks, SQL, and Python to support data-driven consulting initiatives in a hybrid Mexico City role.
Lead a data engineering team to design and scale modern data pipelines for a growing fintech company, ensuring data quality and alignment across stakeholders.
Design and build Snowflake-based data pipelines and governance, using Snowpark/SQL to ingest, transform, and expose data while enabling GenAI features with Cortex AI.
Design and build serverless data pipelines and cloud infrastructures using Python, AWS, and Infrastructure as Code for enterprise-scale data solutions.
Builds and maintains data pipelines to feed manufacturing analytics, enabling data-driven decisions in a semiconductor factory.
Lead a team to design and build data pipelines and transformations using Azure and Databricks, turning raw data into insights for asset management.
Build and maintain Azure-based data pipelines and Power BI reports for clients, troubleshooting issues and mentoring junior engineers using Microsoft’s data stack.
Build and optimize data pipelines, write clean code, and collaborate with teams to deliver reliable data solutions using batch, streaming, or hybrid approaches.
Builds and maintains Azure-based data pipelines, integrates Databricks for analytics, and creates Power BI/Tableau dashboards to support business insights.
Designs and builds cloud-based data pipelines and ETL workflows to transform raw data for analytics and operations using Python, SQL, and NoSQL.
Build and maintain petabyte-scale audio data pipelines for AI model training on GCP, sourcing new datasets and optimizing ingestion for cost, throughput, and quality.
Senior Data Engineer builds and maintains scalable data pipelines in C# and SQL for Amadeus Hospitality, focusing on ETL, BI, and cloud-based data solutions.
Build and maintain scalable data pipelines and cloud data warehouses using Azure Data Factory, Snowflake, dbt, SQL, and Python to power marketing analytics and enterprise reporting.
Leads cloud-based data pipelines and analytics for media performance reporting using SQL, Python, and Databricks to ensure data quality and governance.
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