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QA engineer who designs and automates tests for Databricks data pipelines and cloud migrations on AWS/Azure, validating data accuracy and ETL logic.
Build and maintain ETL pipelines, dashboards, and AI agents to support renewable-energy operations, using SQL, Python, and BI tools like Tableau or PowerBI.
Design and build scalable cloud data pipelines and platforms using AWS services, Python, PySpark, and Databricks to deliver reliable, high-quality data for analytics and decision-making.
Lead a team to build and maintain ETL pipelines and a data lake for a marketing analytics platform using AWS S3, Airflow, and Athena.
Build and optimize reliable, scalable data pipelines using Python, SQL, PySpark, and Azure tools to feed analytics and AI models for enterprise clients.
Builds Databricks pipelines and migrates Redshift data to Databricks using AWS services like S3, Glue, and Athena.
Build and maintain ETL/ELT pipelines connecting NetSuite, Oracle, and other sources to an AWS data lake/warehouse, then create Power BI and Tableau dashboards for healthcare analytics.
Build and maintain AWS-based data pipelines and ETL processes for a global financial data provider, using Python, Spark, and modern cloud tools to enable AI-ready analytics.
Build and optimize Azure-based data pipelines and warehouses, using SQL, Azure Synapse, and Power BI to deliver clean, governed data for reporting and analytics.
Builds and maintains data pipelines and ingestion frameworks in a data lake, using Databricks/Spark and SQL to support Power BI reporting and ensure regulatory compliance.
Builds and maintains data pipelines and ETL workflows in a data lake, using Databricks, Spark, and SQL to ingest and transform structured, semi-structured, and unstructured data for reporting.
Design and maintain scalable data pipelines and cloud architectures, transforming raw data into insights for strategic decisions.
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.
Builds and maintains ETL/ELT pipelines in a data lake, designs data mappings, and writes SQL for PPG’s analytics stack.
Build and maintain cloud-based data pipelines using Databricks, PySpark, and Azure Synapse to feed AI forecasting models for a finance client.
Build and optimize scalable data pipelines for a Latin American fintech marketplace, using Azure Data Factory, Databricks, and Data Lake Storage to feed analytics and decision-making.
Build and maintain scalable data pipelines on Databricks and Azure to feed analytics, ML, and reporting for an insurance company.
Senior Full-Stack Engineer building backend services and React/TypeScript frontends for a marketing analytics platform using Python, PostgreSQL, and AI-assisted tools.
Build and maintain Azure-based data pipelines using T-SQL, Azure Data Factory, Databricks, and Synapse to deliver clean, reliable datasets for analytics and modeling.
Data Engineer to migrate and govern data assets from BigQuery Sandbox to a managed Google Cloud Platform environment, building reliable ETL/ELT pipelines.
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