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Data engineer acting as a subject-matter expert who builds and optimizes Databricks data pipelines, monitors and fixes data quality issues, and documents workflows while guiding team decisions. Core stack: Databricks, Python, ETL/integration tools, cloud data services, and data warehousing.
Xurpas is hiring a data engineering subject-matter expert to lead and optimize data pipelines, manage team initiatives, and uphold data quality and documentation best practices across projects. The hands-on core stack is Databricks, Python, ETL tools, and cloud-based data warehousing.
Senior data engineer who builds and maintains data ingestion pipelines in Azure Databricks, performs large-scale data transformation, validates data quality, and collaborates with cross-functional teams in a hybrid Taguig setup.
A senior data engineer builds and maintains data ingestion and transformation pipelines in Azure Databricks, validates data accuracy and quality, and troubleshoots pipeline issues. The role centers on Azure data services including Data Factory, Data Lake, Synapse, SQL, and Delta Lake in a hybrid Taguig setup.
Data Engineer designing, building, and maintaining data pipelines and ETL processes using Databricks, Python/PySpark, SQL, Azure Data Factory, and Delta Live Tables.
Design and maintain data pipelines, ETL processes, and Databricks-based analytics to ensure efficient data flow and quality for Xurpas’s data strategy.
Senior .NET Full-Stack Developer builds and maintains scalable web apps using .NET, SQL Server, and REST APIs in a hybrid Agile team.
Builds and maintains a web platform using Angular for the frontend and ASP.NET MVC/C# for the backend, focusing on scalable, secure code and CI/CD practices.
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