Highly Skilled Azure Data Platform Specialist

2 weeks ago

Imus, Calabarzon, Philippines beBeeDataEngineer Full time $125,000 - $175,000

Job Title

Azure Data Engineer Role Summary

We are seeking a highly skilled and experienced Data Engineer to join our team. The ideal candidate will have a strong background in the Azure Data Platform, with hands-on experience in implementing and maintaining complex data solutions.

Key Responsibilities:

  • Design, develop, deploy, and maintain scalable data pipelines and integration solutions using Azure services.
  • Collaborate with external stakeholders to ensure high-quality deliverables.
  • Develop and maintain a deep understanding of Azure cloud services, particularly Azure Data Lake, Azure Databricks, Microsoft Fabric, Azure Data Factory, and Azure Machine Learning.
  • Ensure data accuracy, performance, and reliability across all stages of the ETL lifecycle.
  • Provide technical guidance and mentorship to junior team members.
  • Participate in Agile development cycles and contribute to sprint planning and delivery.
  • Apply data management principles, including data lakehouse architecture and best practices aligned with DAMA capabilities.
  • Troubleshoot and resolve complex technical issues quickly and effectively.

Requirements:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 4-8 years of proven experience as a Data Engineer or similar role with a focus on the Azure Data Platform.
  • Strong proficiency in:
  • Azure Data Lake
  • Azure Databricks
  • Azure Data Factory
  • Microsoft Fabric
  • Azure Machine Learning
  • Azure Cognitive Services
  • Azure Cosmos DB or other NoSQL databases
  • Solid understanding of data warehouse, data lake, and lakehouse architectures.
  • Hands-on experience integrating data from enterprise platforms such as SAP and Salesforce.
  • Relevant Azure certification: DP-203 (Azure Data Engineer Associate) or AZ-305 (Designing Microsoft Azure Infrastructure Solutions).
  • Strong skills in SQL, Python, and cloud-based ETL development.
  • Experience working in Agile development environments.
  • Familiarity with DAMA data management principles is an advantage.
  • Excellent analytical and problem-solving abilities.
  • Strong communication and collaboration skills, with fluency in English.

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