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Azure Data Engineer

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Job Description

Experience: 4 to 8 years

Location: Quezon - Hybrid (2 days WFH, 3 days RTO in a week)

Job type: Permanent with MNC company (direct hire)

Shift: Night shift schedule

Responsibilities:

  • Design, develop, and maintain data pipelines and ETL processes using Microsoft Azure services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, Azure Fabric).
  • Utilize Azure data storage accounts for organizing and maintaining data pipeline outputs. (e.g., Azure Data Lake Storage Gen 2 & Azure Blob storage).
  • Collaborate with data scientists, data analysts, data architects and other stakeholders to understand data requirements and deliver high-quality data solutions.
  • Optimize data pipelines in the Azure environment for performance, scalability, and reliability.
  • Ensure data quality and integrity through data validation techniques and frameworks.
  • Develop and maintain documentation for data processes, configurations, and best practices.
  • Monitor and troubleshoot data pipeline issues to ensure timely resolution.
  • Stay current with industry trends and emerging technologies to ensure our data solutions remain cutting-edge.

Required Skills:

  • Proven experience as a Data Engineer or similar role dealing with data and ETL processes.
  • Strong knowledge of Microsoft Azure services, including Azure Data Factory, Azure Synapse, Azure Databricks, Azure Blob Storage and Azure Data Lake Gen 2.
  • Experience utilizing SQL DML to query modern RDBMS in an efficient manner (e.g., SQL Server, PostgreSQL).
  • Strong understanding of Software Engineering principles and how they apply to Data Engineering (e.g., CI/CD, version control, testing).
  • Experience with big data technologies (e.g., Spark).
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills

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Job ID: 149348931

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