Data Engineer: Build Scalable Pipelines for Cloud Data

Peregrine; Quezon City; On-site; PHP 600,000 - 1,100,000; Full time

Job summary

Peregrine is seeking a Data Engineer to design, build, and maintain scalable data pipelines and cloud-based infrastructure that supports reporting, analytics, and decision-making. This role ensures data is collected, transformed, stored, and accessible from multiple sources while maintaining data quality, reliability, and performance.

Collaborate with cross-functional teams to develop efficient data solutions using Python, SQL, and cloud technologies such as AWS and Databricks.

Qualifications

• Bachelor's degree in CS, CE, Data Science, Statistics, IT, or related field.
• 3–5 years in Data Engineering, Data Integration, or similar.
• Experience designing and maintaining data pipelines, ETL/ELT, and data warehouses.
• Strong proficiency in Python (Apache Spark), SQL, and DAX.
• Experience with Databricks, AWS, Azure, GitHub, Linux, and Power BI.
• Knowledge of data modeling, APIs, data governance, and cloud-based data platforms.
• Familiarity with Agile methodologies (Scrum or Kanban).
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT processes.
• Develop and manage data warehouses, data lakes, and databases.
• Integrate data from APIs, cloud platforms, third-party systems, and internal databases.
• Optimize data architecture for performance, scalability, and cost efficiency.
• Ensure data accuracy, integrity, and reliability through monitoring and validation.
• Automate data workflows using Python, SQL, and cloud technologies.
• Manage and optimize cloud-based data infrastructure (AWS, Azure, Databricks).
• Collaborate with business and technical teams to deliver reliable data solutions.
• Troubleshoot data issues and support reporting and data extraction requirements.
• Document data pipelines, architecture, and technical processes.
• Perform testing and validation before production deployment.
• Identify opportunities to improve data quality, automation, and operational efficiency.

Skills

3–5 years experience

Strong analytical

Communication skills

Education

Bachelor's degree in CS/CE/Data Science/Statistics/IT or related field

Tools

Python

Apache Spark

SQL

Power BI

Databricks

AWS

Azure

GitHub

Linux

Job description

Peregrine is seeking a Data Engineer to design, build, and maintain scalable data pipelines and cloud-based infrastructure that supports reporting, analytics, and decision-making. This role ensures data is collected, transformed, stored, and accessible from multiple sources while maintaining data quality, reliability, and performance.

Collaborate with cross-functional teams to develop efficient data solutions using Python, SQL, and cloud technologies such as AWS and Databricks.