Snowflake Data Engineer - Associate | ETL Pipelines & Cloud

PM Consulting; Philippines; On-site; PHP 300,000 - 540,000; Full time

Job summary

PM Consulting is seeking a Data Engineer – Snowflake (Associate) to join a managed services team supporting enterprise data platforms. You will develop, optimize, and maintain scalable Snowflake-based data solutions while ensuring platform reliability and continuous improvement.

You will work closely with cross-functional stakeholders to deliver high-quality data engineering solutions in a collaborative environment. This role strengthens Snowflake expertise on modern cloud-based data platforms.

Qualifications

• Bachelor's degree in CS/IT/Engineering or related field.
• 1–3 years of data engineering or related experience.
• Excellent English communication skills.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Snowflake.
• Build data ingestion processes utilizing Snowpipe, Streams, and Tasks.
• Optimize Snowflake performance through query tuning, clustering, and warehouse optimization.
• Administer Snowflake databases, schemas, and secure data sharing while following governance best practices.
• Integrate Snowflake with cloud storage solutions and orchestration tools.
• Monitor production environments, investigate incidents, perform root cause analysis, and support ongoing platform improvements.
• Collaborate with technical and business stakeholders to understand requirements and deliver effective data solutions.
• Analyze data engineering challenges and recommend practical, scalable solutions.
• Adhere to engineering standards, governance policies, and quality practices.

Skills

Snowflake SQL

ETL/ELT design

SQL

Python

Cloud platforms (AWS/Azure/GCP)

dbt/Fivetran/Informatica/ADF

Education

Bachelor's degree in Computer Science / Information Technology / Engineering

Tools

Snowpipe

Streams

Tasks

Snowflake performance tuning

Job description

About the Role
We are seeking a Data Engineer – Snowflake (Associate) to join a managed services team supporting enterprise data platforms. In this role, you will develop, optimize, and maintain scalable Snowflake-based data solutions while ensuring platform reliability and continuous improvement. You'll work closely with cross-functional stakeholders to deliver high-quality data engineering solutions in a collaborative environment.

This opportunity is ideal for professionals looking to strengthen their Snowflake expertise while working on modern cloud-based data platforms.


Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Snowflake.
  
• Build data ingestion processes utilizing Snowpipe, Streams, and Tasks.
  
• Optimize Snowflake performance through query tuning, clustering, and warehouse optimization.
  
• Administer Snowflake databases, schemas, and secure data sharing while following governance best practices.
  
• Integrate Snowflake with cloud storage solutions and orchestration tools.
  
• Monitor production environments, investigate incidents, perform root cause analysis, and support ongoing platform improvements.
  
• Collaborate with technical and business stakeholders to understand requirements and deliver effective data solutions.
  
• Analyze data engineering challenges and recommend practical, scalable solutions.
  
• Adhere to engineering standards, governance policies, and quality practices.
  

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  
• 1–3 years of experience in data engineering or a related role.
  
• Strong verbal and written communication skills in English.
  

Required Technical Skills

• Strong experience with Snowflake SQL.
  
• Hands-on experience with Snowpipe, Streams, Tasks, and Snowflake performance optimization.
  
• Advanced SQL and Python programming skills.
  
• Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
  
• Familiarity with orchestration tools and modern ETL/ELT methodologies.
  
• Experience with ETL solutions such as dbt, Fivetran, Informatica, or Azure Data Factory (ADF).
  

Preferred Attributes

• Strong analytical and problem-solving skills.
  
• Ability to work effectively with cross-functional teams and stakeholders.
  
• Experience supporting enterprise data platforms in a managed services or similar environment.
  
• Ability to adapt to evolving business and technical requirements.
  
• Commitment to delivering reliable, scalable, and high-quality data solutions.