Cloud Data Engineering Professional

6 days ago

Sorsogon, Bicol, Philippines beBeeDataEngineer Full time ₱800,000 - ₱1,500,000
Cloud Data Engineer

This is a highly skilled and motivated position that requires a strong background in the Azure Data Platform.

The successful candidate will lead end-to-end implementations, collaborate with stakeholders, and drive best practices in data engineering.

  • Key Responsibilities:
  • Design, develop, deploy, and maintain complex data solutions on the Azure Data Platform.
  • Collaborate with external service providers to ensure high-quality deliverables.
  • Develop and maintain a deep understanding of Azure cloud services.
  • Design and implement scalable data pipelines and integration solutions.
  • 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.

Required Skills and Qualifications:

  • Bachelor's degree in Computer Science or a related field. A Master's degree or further studies in Data Science/Analytics is an advantage.
  • 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.
  • Ability to work independently and effectively in a remote, geographically dispersed team.

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