Snowflakes Data Engineers

Accenture in the Philippines; Cebu City; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Accenture in the Philippines designs, develops, and maintains data solutions for data generation, collection, and processing. The role focuses on building scalable Snowflake-based pipelines, ensuring data quality, and migrating data across systems using ELT approaches.

You will lead end-to-end Snowflake implementations, optimize performance, and implement governance with RBAC and masking policies, while collaborating with business teams to align technical solutions with strategic goals.

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 one cloud platform (AWS, Azure, or GCP).
• Knowledge of advanced features like dynamic tables, Snowpipe streaming, Snowflake Cortex AI, etc.
• Good communication skills with the ability to bridge technical and business discussions.
• Certifications: SnowPro Core Certified.

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.
• Enable GenAI use cases leveraging Snowflake’s native capabilities.
• Implement Cortex AI features with custom workflows and business logic.

Skills

Snowflake Lead

Data Engineer

SQL

RBAC & masking policies

Performance tuning

GenAI use cases

Cortex AI features

Communication skills

Cloud platforms

Education

SnowPro Core Certified

Tools

Snowflake

Snowpark

SQL scripting

AWS

Azure

GCP

Job description

Job Description:

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

• 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.
• Enable GenAI use cases leveraging Snowflake’s native capabilities
• Implement Cortex AI features with custom workflows and business logic
• Required Qualifications and Certifications:
• 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.