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Microsoft Cloud Data Engineer – Azure

1 month ago

Manila, National Capital Region, Philippines John Clements Consultants, Inc. Full time

Responsibilities:

  • Design, implement, and maintain efficient data pipelines using Azure Data Factory to process and move data across multiple sources and destinations.
  • Develop and optimize data models within the Azure cloud platform, focusing on performance and scalability.
  • Work closely with Data Architects and Data Analysts to translate business requirements into effective data pipelines and models.
  • Design and implement data integration solutions within Azure, leveraging technologies like Azure Synapse Analytics, Azure Data Lake, and Azure SQL Data Warehouse.
  • Implement best practices for cloud-based data storage, transformation, and analytics.
  • Ensure the security, reliability, and compliance of cloud data solutions.
  • Monitor, troubleshoot, and optimize data workflows to ensure high availability and performance.
  • Collaborate with other cloud engineers and IT teams to manage cloud infrastructure and ensure effective deployment and maintenance.
  • Stay up to date with new developments and innovations in the Azure ecosystem, especially within the context of data engineering.

Required Skills & Experience:

  • Azure Data Factory (ADF): Extensive hands-on experience in designing, developing, and managing data integration pipelines using Azure Data Factory.
  • Data Modeling: Strong experience with data modeling techniques and best practices, including star schema, snowflake schema, and relational models.
  • Experience with Azure Synapse Analytics, Power BI Fabric, or similar platforms for data transformation, reporting, and analytics.
  • Knowledge of cloud-based data storage solutions, such as Azure Data Lake, Blob Storage, and SQL Data Warehouse.
  • Familiarity with ETL/ELT processes and frameworks.
  • Proficiency in SQL and experience with scripting languages (Python, PowerShell, or similar) for data manipulation and automation tasks.
  • Azure DevOps or similar tools for pipeline automation, version control, and CI/CD.
  • Strong problem-solving skills, attention to detail, and the ability to optimize data systems for performance.
  • Excellent communication skills and the ability to work effectively with cross-functional teams.
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