Hybrid Data Engineer: Databricks + AWS Pipelines

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

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.