Snowflake Data Warehouse/ Data Engineer Lead Onsite in Cebu
Job Description
Key Skills
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Summary
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.
Key Responsibilities:
Snowflake Architecture & Engineering:
• 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.
Required Qualifications and Certifications:
• 8+ 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.
Role
Team Leader
Timings
Rotational Shifts (Permanent)
Industry
BPO
Work Mode
Work from office
Process
Voice
Functional Area
ITES / BPO / Customer Service
Note: Myglit doesn't charge any money from candidates. If you have been asked to pay money to get this job then report to us immediately at support@myglit.com.
Interview Tips
- Giving the VNA round?
- What are the most important skills you acquired as a Soft Skills/VNA trainer?
- How would you handle an irate customer?
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