Data Engineer
Back to Jobs
White Cloak Technologies, Inc.Get Smart Job AI Coach in the appFree on iOS and Android

Data Engineer
Location
Quezon City, Metro Manila, Philippines
Experience
Mid
Posted
Jul 10, 2026
Apply by
August 7, 2026
Applicants
0
Early applicantEasy applyContractHybrid
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**
Key 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 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 for performance and scalability.
- Monitor data quality, troubleshoot pipeline issues, and implement validation processes.
- Collaborate with business stakeholders and IT teams to understand reporting 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 data solutions.
Skills Required
DatabricksAWSSQLPythonETLELTAPIsData ModelingGitHubPower BICollaborationProblem solving
App exclusive · Free
Smart Job AI Coach
Your personal interview coach on every job — readiness tips, profile improvements, and role-specific prep. Available only in the Pulse Job app.
Interview readiness
See how prepared you are and what to improve for each role.
Personalized tips
Actionable suggestions based on your profile and the job.
After you apply
Keep coaching momentum from job detail through application success.





