Senior Data Engineer - Python, Snowflake & AWS Expert

MurphLab Business Consultancy; Metro Manila; On-site; PHP 1,800,000 - 2,400,000; Full time

Job summary

MurphLab Business Consultancy is seeking a Senior Data Engineer to design and optimize scalable, cloud-based data solutions using Python, AWS and Snowflake. You will build robust data pipelines and collaborate with cross-functional teams to drive analytics.

The ideal candidate has 7+ years in data engineering, strong SQL and data modeling skills, and experience with ETL/ELT, data warehousing, and CI/CD.

Qualifications

• 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.

Skills

Python

Snowflake

AWS

SQL

Data modeling

CI/CD

Git

Agile

Communication

Problem-solving

Education

Bachelor's degree

Job description

MurphLab Business Consultancy is seeking a Senior Data Engineer to design and optimize scalable, cloud-based data solutions using Python, AWS and Snowflake. You will build robust data pipelines and collaborate with cross-functional teams to drive analytics.

The ideal candidate has 7+ years in data engineering, strong SQL and data modeling skills, and experience with ETL/ELT, data warehousing, and CI/CD.