Data Engineer

White Cloak Technologies, Inc.; Metro Manila; Hybrid; PHP 900,000 - 1,300,000; Part time

Job summary

White Cloak Technologies, Inc. seeks a Data Engineer in Metro Manila to design, build, and maintain robust data infrastructure.

The role emphasizes hands-on work with Databricks and AWS, transforming raw data into reliable datasets for analytics and reporting. The ideal candidate will have 3+ years in data engineering, strong SQL and Python skills, and experience building ETL/ELT pipelines across diverse data sources.

Qualifications

• 3+ years of experience in Data Engineering or a closely related role.
• Hands-on Databricks experience for developing or maintaining data pipelines.
• Experience 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.

Responsibilities

• 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 multiple sources.
• Integrate data from databases, APIs, cloud storage, and third-party apps.
• Develop and optimize SQL queries and Python scripts for efficient data processing.
• Maintain and improve data warehouses and data lakes for performance and reliability.
• Monitor data quality, troubleshoot pipeline issues, and implement validation processes.
• Collaborate with stakeholders to understand reporting and analytics requirements.
• Support Power BI by preparing clean, well-structured datasets.
• Document data pipelines, workflows, and technical processes.
• Participate in testing and production deployment for stable data solutions.

Skills

SQL

Python

ETL/ELT pipelines

APIs

GitHub

Data modeling

Tools

Databricks

AWS

Job description

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.

• 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)

Industry

Retail / Health & Wellness