Azure Data Engineer: Build Scalable Pipelines & Data Lakes

Whr Global Consulting; Philippines; On-site; PHP 1,339,000 - 2,009,000; Full time

Job summary

Whr Global Consulting in Quezon City seeks an Azure Data Engineer to design, develop, and manage data pipelines and architectures that support business analytics and decision-making.

The role requires 3-5 years of experience, on-site work in Quezon City, and a strong background in data processing frameworks and cloud infrastructure. Proficiency in SQL, DAX, Python, and related tools is preferred.

Qualifications

• Degree in Computer Engineering / Data Science / Statistics / Physics or IT related field.
• Knowledge in Agile methodology (e.g. Scrum & Kanban)
• Experience using cloud platforms (Azure)
• Experience with SQL, DAX, GitHub, Databricks, AWS, PowerBI, Linux

Responsibilities

• Design, build, and maintain scalable data pipelines from various sources.
• Maintain databases, data warehouses, and data lakes ensuring integrity and scalability.
• Implement ETL/ELT processes to automate data collection and transformation.
• Integrate data from APIs, cloud storage, third-party systems, and databases.
• Optimize data architectures for performance, scalability, and cost efficiency.
• Collaborate with data team to deliver clean, accessible data solutions.
• Implement data validation and monitoring to ensure accuracy and integrity.
• Manage cloud infrastructure (AWS, Azure) to support storage, processing, and retrieval.
• Automate repetitive tasks using Python and SQL and workflow tools.
• Document data architectures and pipelines for IT teams; provide troubleshooting support.
• Engage with business and tech partners to define requirements and acceptance criteria.
• Conduct live verification and testing to avoid production errors.

Job description

Whr Global Consulting in Quezon City seeks an Azure Data Engineer to design, develop, and manage data pipelines and architectures that support business analytics and decision-making.

The role requires 3-5 years of experience, on-site work in Quezon City, and a strong background in data processing frameworks and cloud infrastructure. Proficiency in SQL, DAX, Python, and related tools is preferred.