Senior Cloud Data Engineer: Python, Snowflake & AWS

Private Advertiser; Metro Manila; On-site; PHP 1,800,000 - 2,400,000; Full time

Job summary

Private Advertiser is looking for a Senior Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based data solutions. The role requires hands-on work with Python, Snowflake, and AWS to support reporting and analytics.

You will design ETL/ELT processes, ensure data quality, and collaborate with cross-functional teams to drive data-driven decisions. Strong SQL, data modeling, and agile practices are essential for success.

Qualifications

• 7+ years of experience in Data Engineering or related role.
• Strong hands-on experience with Python, Snowflake, and AWS.
• Experience designing and maintaining modern cloud data platforms and ETL/ELT pipelines.
• Proficiency in SQL and data modeling concepts.
• Familiarity with data warehousing, performance optimization, and large datasets.
• Experience with CI/CD, Git, and Agile development practices.
• Strong analytical, problem-solving, and communication skills.
• Bachelor's degree in CS/IT/Engineering or related field (or equivalent).

Responsibilities

• Design, develop, and maintain scalable data pipelines and data workflows.
• Build and optimize data solutions using Python, Snowflake, and AWS.
• Develop reliable ETL/ELT processes to support business reporting and analytics.
• Collaborate with cross-functional teams to deliver high-quality data solutions.
• Monitor, troubleshoot, and improve the performance of data platforms.
• Recommend and implement best practices for data engineering and cloud technologies.

Skills

Python

Snowflake

AWS

SQL

Data modeling

CI/CD

Git

Agile

Communication

Education

Bachelor's degree in Computer Science, IT, Engineering

Tools

Python

Snowflake

AWS

Job description

Private Advertiser is looking for a Senior Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based data solutions. The role requires hands-on work with Python, Snowflake, and AWS to support reporting and analytics.

You will design ETL/ELT processes, ensure data quality, and collaborate with cross-functional teams to drive data-driven decisions. Strong SQL, data modeling, and agile practices are essential for success.