Data Engineer

Dencom Consultancy and Manpower Services; Makati; On-site; Full time

Job summary

A consultancy in the Philippines is looking for an experienced Data Engineer to design and optimize scalable data pipelines and cloud-based data solutions. This position emphasizes enabling data-driven decision-making, requiring collaboration with data analysts and BI developers to provide clean, reliable data using Microsoft Azure technologies. Key responsibilities include managing ETL/ELT pipelines and ensuring data quality and governance.

Responsibilities

• Design, build, and maintain ETL/ELT pipelines for high-volume data processing.
• Develop and optimize data workflows using Microsoft Azure services.
• Manage data storage solutions, including Azure Blob Storage and Azure Data Lake Gen2.
• Collaborate with data analysts, BI developers, and business stakeholders to translate requirements into technical solutions.
• Ensure data quality, integrity, and governance across systems.
• Monitor, troubleshoot, and optimize data pipelines and processes.
• Support analytics, reporting, and business intelligence initiatives with scalable data solutions.

Tools

Microsoft Azure

Azure Blob Storage

Azure Data Lake Gen2

Job description

We are seeking an experienced Data Engineer to design, implement, and optimize scalable data pipelines and cloud-based data solutions. This role focuses on enabling data-driven decision-making by providing clean, reliable, and well-structured data across the organization using Microsoft Azure technologies.

Key Responsibilities

• Design, build, and maintain ETL/ELT pipelines for high-volume data processing
• Develop and optimize data workflows using Microsoft Azure services
• Manage data storage solutions, including Azure Blob Storage and Azure Data Lake Gen2
• Collaborate with data analysts, BI developers, and business stakeholders to translate requirements into technical solutions
• Ensure data quality, integrity, and governance across systems
• Monitor, troubleshoot, and optimize data pipelines and processes
• Support analytics, reporting, and business intelligence initiatives with scalable data solutions