Sr Data Engineer - Python and Snowflake - Up to 200k

Private Advertiser

Metro Manila

On-site

PHP 1,800,000 - 2,400,000

Full time

11 days ago
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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

We're hiring a Senior Data Engineer with strong expertise in Python, AWS, and Snowflake to build and optimize scalable cloud-based data solutions.

Requirements
  • At least 7 years of experience in Data Engineering or a 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 Computer Science, IT, Engineering, or a related field (or equivalent experience).

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.

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