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Design and run PySpark/SQL tests to validate Azure-based data pipelines, ETL jobs, and data quality in a fintech and enterprise-product environment.
Builds and maintains ETL pipelines using Python and Azure Synapse Analytics to move and transform data for clients.
Designs and maintains ETL pipelines using Python (PySpark) and Azure Synapse Analytics to integrate data for analytics and reporting.
Design and maintain ETL pipelines using Python and Azure Synapse Analytics to integrate and process data for clients.
Design and maintain ETL pipelines using Python (PySpark) and Azure Synapse Analytics to move and transform data for analytics and reporting.
Build and maintain ETL pipelines in Azure Synapse using PySpark and SQL, design data warehouses, and ensure reliable data flows for analytics.
Designs and optimizes ETL pipelines in Azure Synapse using PySpark, ensuring scalable data integration and governance for analytics and reporting.
Design and implement Azure-based data pipelines using Data Factory, Synapse Analytics, and Microsoft Fabric, with Power BI integration for reporting.
Build and maintain ETL pipelines using Python and Azure Synapse Analytics to move and transform data for clients.
Build and maintain ETL pipelines in Azure Synapse using PySpark and SQL, design data warehouses, and ensure data quality for enterprise clients.
Senior Data Engineer builds and maintains ETL/ELT pipelines in Azure Synapse and SQL Server, using PySpark and Microsoft Fabric to deliver clean, governed data for analytics.
Builds and maintains ETL pipelines using Python and Azure Synapse Analytics to move and transform data for analytics and reporting.
Senior Data Engineer builds and maintains enterprise data products on Microsoft Fabric, designing scalable ELT pipelines and lakehouse solutions while collaborating with business stakeholders to deliver trusted, reusable data assets.
Design and build cloud-native data pipelines and warehouses in Snowflake, DBT, Airflow, and Terraform to power analytics and AI for clients across finance, healthcare, gaming, and retail.
Build and maintain Azure-based data pipelines and warehouses using ADF, Synapse, and DBT to enable analytics and reporting.
Build and maintain Azure-based data pipelines and warehouses using T-SQL, Synapse, Data Factory, Databricks, and streaming services to deliver clean, reliable data for analytics and modeling.
Designs and optimizes Azure-based data pipelines and analytics models using SQL, PySpark, and Azure Synapse to deliver scalable solutions for global clients.
Builds and maintains scalable ETL/ELT pipelines and data platforms using Python, SQL, PySpark, and Azure services like Databricks and Data Factory.
Builds and automates an Azure-based data platform using Synapse and Databricks, deploying infrastructure as code with Terraform and CI/CD pipelines.
Designs and optimizes SQL databases and data pipelines using Microsoft Fabric, Azure Synapse Analytics, and Power BI to ensure reliable, well-structured data access.
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