Senior Cloud Data Specialist

1 day ago

Paranaque City, Calabarzon, Philippines beBeeData Full time $102,676 - $158,631
**Data Engineer Role**

We are seeking a highly skilled and motivated Data Engineer to join our global team. This role requires hands-on experience in implementing and maintaining complex data solutions using Azure services, with a focus on scalability, efficiency, and performance.

The successful candidate will play a key role in leading end-to-end implementations, collaborating with internal and external stakeholders, and driving best practices in data engineering.

Key Responsibilities:

  • Lead the end-to-end implementation of data solutions on the Azure Data Platform, including design, development, deployment, and maintenance.
  • Collaborate with external service providers during solution implementation 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.
  • Design and implement scalable data pipelines and integration solutions, including working with data from SAP and Salesforce.
  • 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.
  • Communicate and collaborate with stakeholders across various functions and geographic locations.

**Required Skills and Qualifications**

  • Bachelor's degree in Computer Science, Information Technology, or a related field. A Master's degree or further studies in Data Science/Analytics is an asset.
  • 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, and 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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