Data Engineer

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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

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