Senior Data Engineer - Snowflake/AWS Data & AI Pipelines

Ascendion; Taguig; In loco; PHP 900.000 - 1.800.000; Tempo pieno

Descrizione del lavoro

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.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Data pipelines

Production data solutions

Troubleshooting

Collaboration

Maintainable coding

Problem solving

Strumenti

Snowflake

AWS

Descrizione del lavoro

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.