Global AWS Data Engineer: Scalable Python Pipelines

Lingaro Group Philippines

Manila

On-site

PHP 1,200,000 - 2,400,000

Full time

13 days ago
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Job summary

Lingaro Group Philippines is seeking a Senior Data Engineer to maintain and develop data engineering platforms. The role focuses on scalable, reusable solutions deployable across countries and business environments.

You will work in an Agile team, drive Python-based modules, optimize AWS-based ETL pipelines with Glue, Athena, Lambda, and DynamoDB, and apply OOP and modern software practices to deliver high-quality data processing.

Qualifications

  • Advanced Python programming expertise, with strength in pandas, OOP, and modern Python development tools.
  • Experience with AWS cloud technologies: Glue, Athena, DynamoDB, Step Functions and Lambda.
  • Strong understanding of AWS-based cloud architectures.
  • Experience with agile software development and project tools (Azure DevOps).
  • 5–10 years of data engineering experience with global or regional exposure is nice to have.
  • Experience with CI/CD and automated testing.

Responsibilities

  • Develop and maintain Data Engineering platforms using AWS native stack.
  • Design and implement generalized modules using modern Python practices across countries.
  • Apply OOP to create maintainable, scalable data processing solutions.
  • Collaborate within agile teams to deliver high-quality solutions on schedule.
  • Identify root causes in data and suggestion pipelines; fix issues across AWS Step Functions, Glue, Athena, and Lambda.
  • Leverage modern Python tooling to ensure code quality, testing, and deployment efficiency.

Skills

Python (Advanced)
Pandas
OOP & Design Patterns
CI/CD
Agile / Azure DevOps

Tools

AWS Glue
AWS Athena
AWS Step Functions
AWS Lambda
DynamoDB

Job description

Lingaro Group Philippines is seeking a Senior Data Engineer to maintain and develop data engineering platforms. The role focuses on scalable, reusable solutions deployable across countries and business environments.

You will work in an Agile team, drive Python-based modules, optimize AWS-based ETL pipelines with Glue, Athena, Lambda, and DynamoDB, and apply OOP and modern software practices to deliver high-quality data processing.

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