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Snowflake Data Engineer

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Hybrid

Snowflake Data Engineer

Private Advertiser

Snowflake Data Engineer

Skills

SQL QueriesData EngineeringSnowflakeCompliance

21 days ago

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Important information


Contract type:

Permanent

Location:

Metro Manila, Philippines

Work mode:

Hybrid

Published on:

30 September 2026

What they need


We are seeking a skilled Snowflake Data Engineer with 1-3 yrs. of experience, to design, develop, and maintain scalable data pipelines and data solutions using Snowflake and modern cloud data technologies.

Data Engineering & Development

  • Design, develop, and maintain scalable data pipelines and data integration processes.
  • Develop and optimize ETL/ELT workflows using Snowflake and related data engineering tools.
  • Build and maintain data models, schemas, views, tables, and stored procedures in Snowflake.
  • Integrate data from various sources, including databases, APIs, files, and cloud-based applications.
  • Develop reusable and efficient SQL queries for data transformation and processing.
  • Implement data ingestion and transformation processes following established data engineering standards.

Snowflake Administration & Optimization

  • Develop and maintain Snowflake databases, warehouses, schemas, and data structures.
  • Monitor Snowflake workloads and optimize queries, warehouse utilization, and overall performance.
  • Implement appropriate data storage, partitioning, clustering, and optimization strategies.
  • Manage data access and permissions in coordination with security and infrastructure teams.
  • Monitor data pipeline performance and troubleshoot data processing issues.

Data Quality & Governance

  • Implement data validation and quality checks throughout data pipelines.
  • Identify and resolve data inconsistencies, duplication, and transformation issues.
  • Support data governance, documentation, lineage, and metadata management initiatives.
  • Ensure data solutions follow company security, privacy, and compliance requirements.

Collaboration & Support

  • Work with data analysts, BI developers, and business stakeholders to understand data requirements.
  • Translate business and reporting requirements into technical data solutions.
  • Troubleshoot production data issues and provide timely resolution.
  • Document data pipelines, processes, technical specifications, and system dependencies.
  • Participate in code reviews, testing, deployment, and continuous improvement activities.

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