Senior Data Engineer

Pointwest; Quezon City; On-site; PHP 781,200 - 1,004,400; Full time

Job summary

A leading tech company in Metro Manila is seeking a Senior Software Data Engineer specializing in Python. The role involves designing and optimizing data infrastructure and pipelines using AWS services. Ideal candidates will have over 5 years of experience in development, strong skills in cloud services, and a passion for continuous learning. The position also requires effective collaboration with data science teams and a commitment to delivering high-quality, scalable data solutions.

Qualifications

• 5+ years of development experience in Python.
• Strong expertise in AWS cloud services, especially Lambda, S3, Glue, and Athena.
• Experience with Infrastructure as Code tools like AWS CDK or CloudFormation.
• Solid foundation in ETL/ELT processes and pipeline design.
• Excellent written and verbal English communication skills.

Responsibilities

• Design and implement serverless data pipelines using AWS services.
• Build and maintain data lakes and ETL/ELT workflows.
• Develop and maintain automated CI/CD pipelines.
• Ensure compliance with data governance and quality standards.
• Collaborate with data science teams to deliver reliable data solutions.
• Mentor junior engineers and promote best practices.

Skills

Python

AWS

SQL

Infrastructure as Code

ETL/ELT processes

Problem-solving

Analytical abilities

Tools

AWS Lambda

AWS S3

AWS Glue

AWS Athena

AWS CDK

CloudFormation

Job description

Senior Software Data Engineer (Python)

We are looking for a Senior Software Data Engineer – Python to design, build, and optimize cloud-based, serverless data pipelines and infrastructures. You will leverage your expertise in Python, SQL, AWS, and Infrastructure as Code to deliver scalable and secure data solutions. This role is ideal for someone with strong collaboration skills, a passion for innovation, and proven experience working with large-scale, enterprise-level projects.

At Pointwest, we live by our core values of Leadership, Excellence, and Innovation, and we embrace a culture of Agility, Accountability, Collaboration, Customer Centricity, and Innovation.

Key Responsibilities

• Design and implement serverless data pipelines using AWS services.
• Build and maintain data lakes, ETL/ELT workflows, and data catalogs.
• Develop and maintain automated CI/CD pipelines and Infrastructure as Code (AWS CDK/CloudFormation).
• Ensure compliance with data governance, security, and quality standards.
• Collaborate with data science teams to deliver accessible and reliable data solutions.
• Mentor junior engineers, promote knowledge sharing, and champion best practices.

Key Metrics of Success

• High client satisfaction and quality feedback.
• Scalable, secure, and high-performing data solutions delivered on time.
• Reduction in deployment errors and faster delivery cycles through automation.
• Active contribution to team knowledge-sharing and continuous learning.

Qualifications

Minimum Requirements

• 5+ years of development experience in Python.
• Strong expertise in AWS cloud services (Lambda, S3, Glue, Athena).
• Experience with Infrastructure as Code (AWS CDK/CloudFormation).
• Solid foundation in ETL/ELT processes, data modeling, and pipeline design.
• Excellent written and verbal English communication skills.

Preferred

• Experience with AWS Lake Formation, AWS Datazone, EventBridge, Step Functions.
• CI/CD pipeline implementation and API integration experience.

Soft Skills

• Strong problem-solving and analytical abilities.
• Effective communicator across technical and non-technical teams.
• Proactive, accountable, and adaptable in dynamic environments.
• Curiosity and passion for continuous learning and innovation.