Mid-Level BI Data Engineer On-site in Pasay

About the Role

We are looking for a Mid-Level BI Data Engineer to join our team in Pasay, National Capital Region. This role is on-site, offering a chance to work closely with a collaborative team. You will help build and maintain a scalable data ecosystem using AWS technologies. If you are passionate about data and analytics, this position is for you.

As a BI Data Engineer, you will design data pipelines and optimize data models. You will also strengthen our BI warehouse capabilities. This role is essential for delivering high-impact analytics solutions. For more information about our company culture, visit our About Us page.

Responsibilities

• Architect and operationalize a scalable data ecosystem.
• Design AWS-based data pipelines for efficient data flow.
• Optimize data models to improve performance and usability.
• Strengthen BI warehouse and OLAP capabilities for better reporting.
• Integrate AWS services for effective data extraction and analytics.
• Deliver high-impact analytics solutions that meet business needs.
• Create technical documents for data warehouse processes.
• Initiate improvements in processes and technical designs.
• Manage assigned deliverables and projects to ensure timely completion.

Requirements

• Bachelor's degree in IT, Computer Science, or Engineering.
• Collaborative and customer-focused mindset.
• Expert in managing the end-to-end data lifecycle.
• Experience with data warehousing or ETL platforms is a plus.
• Effective communication skills with internal clients.

Benefits

We offer a competitive salary and a supportive work environment. Enjoy a healthy work-life balance with weekends off. You will have opportunities for professional growth and development. Our team values collaboration and innovation. For more details on our benefits, visit our Benefits page.

Join us in shaping the future of data analytics. Apply now to be part of our dynamic team in Pasay!

• Bachelor's degree in IT, Computer Science, or Engineering.
• Collaborative and customer-focused mindset.
• Expert in managing the end-to-end data lifecycle.
• Experience with data warehousing or ETL platforms is a plus.
• Effective communication skills with internal clients.

• Architect and operationalize a scalable data ecosystem.
• Design AWS-based data pipelines for efficient data flow.
• Optimize data models to improve performance and usability.
• Strengthen BI warehouse and OLAP capabilities for better reporting.
• Integrate AWS services for effective data extraction and analytics.
• Deliver high-impact analytics solutions that meet business needs.
• Create technical documents for data warehouse processes.
• Initiate improvements in processes and technical designs.
• Manage assigned deliverables and projects to ensure timely completion.