Data Engineer

White Cloak Technologies, Inc.; Metro Manila; Hybrid; PHP 600,000 - 1,000,000; Part time

Job summary

White Cloak Technologies, Inc. in Metro Manila, Philippines, seeks a Data Engineer to design, build, and maintain data infrastructure and pipelines. You will collaborate with teams to transform raw data into reliable datasets for reporting and analytics.

The role emphasizes data quality, scalable ETL/ELT processes, and enabling Power BI reporting, with a 3-month contract and hybrid onsite work in Quezon City.

Qualifications

• 3+ years of Data Engineering experience or related role.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines using Databricks and AWS.

Skills

Databricks

AWS

SQL

Python

Data pipelines

ETL/ELT

APIs

Data quality

GitHub

Tools

Databricks

AWS

Job description

We are seeking a highly skilled and experienced Data Engineer to join our team in Metro Manila, Philippines. As a Data Engineer, you will be responsible for designing, building, and maintaining data infrastructure and systems.

Key Responsibilities:

We are looking for a Data Engineer to join and support the development and optimization of scalable data solutions. This role is ideal for someone with hands-on experience building data pipelines using Databricks and AWS, and who enjoys transforming raw data into reliable, business-ready datasets.

You will collaborate with business and technical teams to integrate data from multiple sources, automate workflows, and ensure high-quality data is available for reporting and analytics.

• Design, develop, and maintain scalable ETL/ELT data pipelines using Databricks and AWS.
• Build and optimize data workflows that ingest, transform, and load data from various internal and external sources.
• Integrate data from databases, APIs, cloud storage, and third-party applications.
• Develop and optimize SQL queries and Python scripts for efficient data processing.
• Maintain and improve data warehouses and data lake environments to ensure performance, reliability, and scalability.
• Monitor data quality, troubleshoot pipeline issues, and implement validation processes.
• Collaborate with business stakeholders and IT teams to understand reporting and analytics requirements.
• Support Power BI reporting by preparing clean and well-structured datasets.
• Document data pipelines, workflows, and technical processes.
• Participate in testing and production deployment to ensure stable and reliable data solutions.

Qualifications:

• At least 3 years of experience in Data Engineering, ETL Development, or a related role.
• Hands-on experience using Databricks for developing or maintaining data pipelines.
• Experience working with AWS services for data storage, processing, or integration.
• Strong SQL skills, including query optimization and data transformation.
• Proficiency in Python for data engineering and automation.
• Experience building ETL/ELT pipelines and integrating multiple data sources.
• Familiarity with APIs, data modeling, and data quality best practices.
• Experience with GitHub or other version control tools.

Location:

Quezon City (4 Days Onsite, 1 Day Work From Home)

Employment Type:

Project-Based / Contract (3 Months)