Data Engineer

We are seeking a skilled and experienced Data Engineer to join our team to be responsible for developing and governing our 'Data Platform'.

As Data Engineer, you will be responsible for overseeing the implementation and management of our solution on Azure Data Platform, with a specific focus on Azure services and technologies.

The ideal candidate will possess a strong proficiency in Azure Data Platform, along with extensive knowledge of Azure cloud services and relevant certifications.

Key Responsibilities:

• Develop the end-to-end implementation of our solution on Azure Data Platform, including design, development, deployment, and ongoing maintenance. Implementation will be carried out by an external provider.
• Collaborate with cross-functional teams, including data architects, tech developers, data scientists and other data engineers too, to define and refine the solution architecture.
• Provide technical expertise and guidance to ensure that the solution is implemented efficiently and effectively by our supplier, leveraging the capabilities of the Azure Data Platform.
• Work closely with Data Ambassadors and Data Center of Excellence (CoE) to gather requirements, define project scope, and manage expectations throughout the project lifecycle.
• Develop and maintain a deep understanding of Azure cloud services, with a focus on Azure Data Platform, including Azure Data Lake, Azure Databricks, Azure Machine Learning, Microsoft Fabric, Azure Data Factory, Azure Cognitive Services, Azure Cosmos DB (or other NoSQ DB), and other relevant technologies.
• Extensive experience in data integration with various sources such as SAP, Salesforce, DBs, SCADA, PIMS, etc.
• Stay up to date with the latest advancements in Azure services, best practices, and industry trends, and apply this knowledge to enhance the solution.
• Monitor and optimize the performance and scalability of the solution on Azure Data Platform, making recommendations for improvements as needed.
• Collaborate with the operations team to ensure the availability, security, and compliance of the solution in the Azure environment.
• Provide technical leadership and mentorship to junior team members, fostering a culture of continuous learning and growth.
• Responsible for overseeing AI implementations. This includes understanding AI models developed by data scientists and ensuring their successful deployment on Azure. You'll also monitor these models for performance and make necessary adjustments
• .Design and implement innovative solutions and prototypes to stay ahead of the market trends in collaboration with other department.
• Develop and manage data warehousing systems to ensure the availability and accessibility of data for other teams.
• Design and manage orchestration workflows to automate and streamline data processes.
• Develop and manage a data Lakehouse to provide a unified platform for all types of data.
• Implement real-time data streaming solutions to provide timely insights and analytics.
• Manage data effectively to ensure its quality, security, and privacy.
• Design and implement data consumption solutions to make data easily accessible and usable for end users.

Qualifications:

• At least 4-8 years Proven experience as Data Engineer or similar role, with a focus on implementing solutions on Azure Data Platform.
• Higher education at Bachelor's or Bachelor's level, as well as a high level of English.
• Master`s degree in Business Administration or Information Technology, advanced studies in Data Science/Analytics is desirable but not mandatory.
• Expertise on data management tools / IT architecture models (Data Warehouse, Datalake, Lakehouse, etc.)
• Strong proficiency in Azure Data Platform, including Azure Data Lake, Azure Databricks, Azure Machine Learning, Microsoft Fabric, Azure Data Factory, Azure Cognitive Services, Azure Cosmos DB (or other NoSQ DB), and other relevant technologies.
• Demonstrated expertise in designing and implementing scalable and efficient solutions on Azure.
• Extensive knowledge of Azure cloud services, infrastructure, and architecture, with relevant certifications (e.g., DP-203 Azure Data Engineer Associate or AZ-305 Designing Microsoft Azure Infrastructure Solutions).
• In-depth understanding of data management principles, data lakehouse architecture, and data integration concepts.
• Experience working in an Agile development environment, with a solid understanding of Agile methodologies.
• Knowledge and experience of DAMA Capabilities and the different disciplines of Data Management
• Strong attention to details and technicalities.
• Excellent problem-solving and analytical skills, with the ability to troubleshoot complex technical issues.
• Strong communication and collaboration skills, with the ability to effectively interact with stakeholders at various levels of the organization.

Job Type: Full-time

Pay: Php100, Php120,000.00 per month

Work Location: In person