Data Engineer

White Cloak Technologies, Inc.; Quezon City; Hybrid; PHP 781,200 - 1,227,600; Part time

Job summary

White Cloak Technologies, Inc. is seeking a Data Engineer to build scalable data pipelines using Databricks and AWS, transforming raw data into business-ready datasets. You will collaborate with business and IT teams to automate workflows and ensure high-quality data for reporting and analytics.

The role focuses on ETL/ELT development, data warehousing, and enabling Power BI reporting, with a 4 days onsite / 1 day remote work arrangement under a project-based contract.

Qualifications

• 3+ years in Data Engineering, ETL development, or related role.
• Hands-on Databricks experience for building data pipelines.
• Experience with AWS data storage, processing, or integration.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines with Databricks and AWS.
• Build and optimize data workflows ingesting and transforming data from multiple sources.
• Integrate data from databases, APIs, cloud storage, and third-party apps.
• Develop SQL queries and Python scripts for efficient data processing.
• Maintain data warehouses and data lake environments for performance and scalability.
• Monitor data quality, troubleshoot pipelines, and validate data.
• Collaborate with stakeholders to define reporting and analytics needs.
• Prepare datasets to support Power BI reporting.
• Document pipelines and technical processes.
• Participate in testing and production deployment.

Job description

Apply here for faster application: https://hellojia.ai/whitecloak/X0R1

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.

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 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

Apply here for faster application: https://hellojia.ai/whitecloak/X0R1