Snowflake Data Engineer

Ascendion; Taguig; Hybride; PHP 1 200 000 - 1 800 000; Plein temps

Résumé du poste

Ascendion is seeking a hands-on Snowflake Data Engineer to design, build, and operate cloud-native data and AI solutions. The role focuses on Snowflake, AWS, and end-to-end data pipeline delivery in a hybrid setup in the Taguig area.

The ideal candidate combines strong software engineering fundamentals with practical Snowflake and AWS experience, delivering scalable data solutions and governance across data types.

Qualifications

• Must have strong data engineering and analytics background.
• Hands-on experience with Snowflake platform.
• Experience with AWS cloud services and data pipelines.
• Proficient in SQL scripting and data modelling.

Responsabilités

• Design, build, and operate production-grade data and software solutions end-to-end.
• Create reliable data pipelines and data products using AWS and Snowflake across data types.
• Model and optimise Snowflake datasets and structures for performance and usability.
• Apply clean code, modular design, automated tests, CI/CD, observability, and secure development.

Connaissances

Data Engineering

Snowflake Platform

AWS Cloud Services

SQL Scripting

Description du poste

Job Title: Snowflake Data Engineer

Location: BGC, Taguig

Set-up: Hybrid 3x onsite/week

Schedule: Shifting

Minimum Skills Required: Data Engineering/Analytics, Snowflake Platform, AWS Cloud Services , SQL Scripting

We are looking for a hands-on senior solution engineer who can design, build, and operate robust cloud-native data and AI solutions. The ideal candidate combines strong software engineering fundamentals with deep practical experience in AWS and Snowflake.

Responsibilities:

• Design, build, and operate production-grade software and data solutions end-to-end, from problem definition and architecture through implementation, deployment, monitoring, and continuous improvement.

• Design and implement reliable, scalable, secure, and well-governed data pipelines and data products using AWS and Snowflake across structured, semi-structured, and unstructured data sources.

• Model, curate, and optimise Snowflake datasets, schemas, and data structures in line with enterprise platform standards, ensuring performance, quality, consistency, and usability for downstream consumers.

• Apply strong software engineering practices, including clean code, modular design, automated testing, CI/CD, observability, secure development, and maintainable architecture.

• Partner with business and technical stakeholders to translate requirements into robust data solutions, prioritise delivery, and identify opportunities to enable advanced analytics and AI use cases.

• Use AI-assisted engineering as a standard part of daily development work to accelerate coding, refactoring, documentation, testing, debugging, and solution exploration while maintaining strong engineering judgement and quality standards.

• Build cloud-native integrations and automation on AWS, making effective use of services such as compute, storage, networking, security, orchestration, event-driven architectures, and managed AI services where appropriate.

• Own deployment, release, and production operations, including troubleshooting, root-cause analysis, performance tuning, incident resolution, peer code reviews, pair programming, and reuse of proven engineering patterns.