Data Engineer
Summary
Build and optimize Snowflake-based data pipelines and ETL processes, implement governance and AI features, and tune performance for cloud data workloads.
On-site - Cebu 1-3 Yrs Exp Bachelor Full-time
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Job Description
WORK SET UP: Onsite in Cebu
WORK SHIFT: Depends with the client and project but they are looking for someone who can work on a shifting schedule
Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Responsibilities
- Lead and implement Snowflake solutions across data ingestion, storage, transformation, and access
- Lead end-to-end implementation of solutions using Snowflake’s latest features.
- Develop reusable frameworks, UDFs, and components using Snowpark or SQL scripting
- Develop performance-optimized pipelines using Snowflake-native capabilities and modern ELT tools
- Establish data governance, security models, RBAC, and masking policies in line with compliance standards
- Conduct performance tuning, workload monitoring, and optimization.
- Implement Cortex AI features with custom workflows and business logic
Qualifications
- 2+ years of experience as a Snowflake Lead or Data Engineer
- Good command of Snowflake internals, including performance tuning, clustering, caching
- Good Knowledge of SQL, Snowflake scripting, and at least any one cloud platforms (AWS, Azure, or GCP)
- Knowledge of Advanced Features like dynamic tables, Snow pipe streaming, Snowflake Cortex AI etc
- Good communication skills with the ability to bridge technical and business discussions
- Certifications: SnowPro Core Certified.
- Open for those applicants who are currently in Philippines and already have the right to live and work in this country are eligible for this role
- Amenable to work onsite in cebu
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