Experience: 4 to 20 years (Consultant & Assistant Manager & Manager) Location: Makati - Hybrid No of openings: 8 Required Skills: • Minimum 4 years of experience in Azure Microsoft data engineering. * Experience in data
Job Description: Design, develop, and maintain ETL pipelines using Informatica, Azure Data Factory (ADF), and Databricks Perform migration of legacy ETL workflows (Informatica) to Databricks using Python/PySpark Analyze existing ETL workflows and re-engineer into optimized Spark-based transformations Develop data
Experience: 4 to 15 years (Consultant / Assistant Manager / Manager) Location: Makati - Hybrid Key Responsibilities: - Design, build, and maintain data infrastructure for organizations using Azure cloud services - Create data pipelines, integrate data
Roles & responsibilities Design, build, and maintain scalable data solutions on Microsoft Azure to support business data needs. Develop and manage data pipelines for ingesting, transforming, and integrating data from multiple sources. Implement data security, governance,
Roles & responsibilities Design, build, and maintain scalable data solutions on Microsoft Azure to support business data needs. Develop and manage data pipelines for ingesting, transforming, and integrating data from multiple sources. Implement data security, governance,
Role Overview A leading technology consulting organization is seeking an experienced Data Engineering Consultant with deep expertise in the Microsoft Azure ecosystem. In this role, you will be responsible for architecting, developing, and sustaining scalable data
Experience: 4 to 15 years (Consultant / Assistant Manager / Manager) Location: Makati - Hybrid Key Responsibilities: - Design, build, and maintain data infrastructure for organizations using Azure cloud services - Create data pipelines, integrate data