Senior Data Engineer (Snowflake/AWS)

Ascendion; Taguig; On-site; PHP 900,000 - 1,800,000; Full time

Job summary

Ascendion is seeking an experienced senior data engineer to design, build and operate reliable cloud-based data solutions in a hands-on role. You will work across the full data engineering lifecycle, developing pipelines, optimizing data warehouses, and resolving production issues.

You will contribute to data infrastructure supporting analytics and AI applications and will collaborate with technical teams and stakeholders to deliver practical data solutions.

Qualifications

• 5 years of hands-on data engineering experience.
• Experience in Snowflake data warehousing with practical development or implementation.
• Strong hands-on experience with AWS cloud technologies.
• Solid software engineering fundamentals and clean coding practices.
• Experience designing, developing and supporting production data solutions.
• Ability to troubleshoot issues, own deliverables and collaborate.

Responsibilities

• Design, develop and maintain data pipelines and data warehousing solutions using Snowflake and AWS.
• Build and improve data ingestion, transformation and integration processes.
• Write clean, reliable and maintainable code following software engineering best practices.
• Troubleshoot production issues and improve data pipeline reliability.
• Identify opportunities to improve data processing performance and efficiency.
• Apply data quality and security practices to support reliable data solutions.
• Contribute to data infrastructure supporting analytics and AI applications.
• Collaborate with technical teams and stakeholders to deliver practical data solutions.

Skills

Data pipelines

Production data solutions

Troubleshooting

Collaboration

Maintainable coding

Problem solving

Tools

Snowflake

AWS

Job description

• We are looking for an experienced senior data engineer (Snowflake/AWS) to design, build and operate reliable cloud-based data solutions.
• This is a hands-on engineering role where you will work across the full data engineering lifecycle — from developing data pipelines and improving data warehouse performance to troubleshooting production issues.
• You will contribute to data infrastructure that supports business analytics, operational processes and AI-related applications.

Responsibilities:

• Design, develop and maintain data pipelines and data warehousing solutions using Snowflake and AWS.
• Build and improve data ingestion, transformation and integration processes.
• Write clean, reliable and maintainable code following software engineering best practices.
• Troubleshoot production issues and improve data pipeline reliability.
• Identify opportunities to improve data processing performance and efficiency.
• Apply data quality and security practices to support reliable data solutions.
• Contribute to data infrastructure supporting analytics and AI applications.
• Collaborate with technical teams and stakeholders to deliver practical data solutions.

Required Skills:

• 5 years of hands-on data engineering experience.
• 1 year of in-depth Snowflake data warehousing experience, including practical development or implementation.
• Strong hands-on experience with AWS cloud technologies.
• Solid software engineering fundamentals, including maintainable coding and technical problem-solving.
• Experience designing, developing and supporting production data solutions.
• Ability to troubleshoot issues, take ownership of deliverables and collaborate effectively.