Data Engineer – Snowflake

• Lead and implement Snowflake solutions across data ingestion, storage, transformation, and data access.

• Drive end-to-end implementation of solutions using the latest Snowflake features.

• Develop reusable frameworks, User-Defined Functions (UDFs), and components using Snowpark or SQL scripting.

• Build performance-optimized data pipelines using Snowflake-native capabilities and modern ELT tools.

• Establish data governance, security models, Role-Based Access Control (RBAC), and data masking policies in line with compliance standards.

• Conduct performance tuning, workload monitoring, clustering, caching, and query optimization.

Generative AI & Advanced Snowflake Capabilities

• Enable Generative AI use cases using Snowflake's native capabilities.

• Implement Snowflake Cortex AI features with customized workflows and business logic.

• Work with advanced Snowflake features, including dynamic tables and Snowpipe Streaming.

Data Engineering & Collaboration

• Design, develop, and maintain reliable data pipelines and data processing solutions.

• Ensure data quality, scalability, security, and efficiency across data systems.

• Collaborate with technical and business stakeholders to translate requirements into effective data solutions.

• Communicate technical concepts clearly to both technical and non-technical stakeholders.

Required Qualifications

• 8+ years of relevant hands-on experience as a Snowflake Lead or Data Engineer.

• Strong understanding of Snowflake internals, including performance tuning, clustering, and caching.

• Proficiency in SQL, Snowflake scripting, and Snowpark.

• Experience with at least one cloud platform: AWS, Microsoft Azure, or Google Cloud Platform (GCP).

• Knowledge of advanced Snowflake features, including dynamic tables, Snowpipe Streaming, and Snowflake Cortex AI.

• Experience enabling Generative AI use cases and implementing customized workflows is preferred.

• Strong communication and stakeholder management skills.

• Certification: SnowPro Core Certified.

Screening & Selection Process

1. Initial screening by the CV Reviewer.

2. Endorsement for validation and further CV screening through Workday, along with the HRI toolkit, FCV, and CV.

3. Client review.

Pre-Screening Questions

1. How many years of relevant hands-on experience do you have with Snowflake solutions?

2. What was your last drawn salary?

3. What is your expected salary?

4. Are you comfortable working onsite in Manila with a shifting schedule?

Important Notes

• Please do not disclose the client's name in the job posting.

• Upload the candidate's latest CV in PDF format.

• Include screening notes based on the job description provided.