Manpower Genius Logo

Hire Data Engineer

Our Services

Hire Data Engineer for Up to 70% less than UK & US Equivalents

We have helped hundreds of employers hire amazing staff in the Philippines.

Savings of up to 70% by hiring a Data Engineer in the Philippines

Why hire from the Philippines?

tasks & necessary qualifications of data engineers

Data Engineer job description

Tasks

  • Design, develop, and maintain robust data ingestion pipelines.

  • Ensure data pipelines are scalable, reliable, and efficient.

  • Monitor and optimize the performance of data workflows.

  • Work with DBT for data transformation and modeling.

  • Use Apache Airflow or Cloud Composer for orchestrating workflows.

  • Implement containerization with Docker and orchestration with Kubernetes.

  • Manage code via GitHub and deploy solutions on Google Cloud Platform (GCP).

  • Implement Continuous Integration/Continuous Deployment (CI/CD) practices.

  • Utilize Infrastructure-as-Code (IaC) tools to manage and provision infrastructure.

  • Collaborate with cross-functional teams including data scientists, software engineers, and clinical experts.

  • Integrate data engineering solutions with machine learning models, LLMs, and NLP frameworks.

  • Stay updated with the latest trends and best practices in data engineering.

  • Propose and implement improvements to existing data pipelines and infrastructure.

Qualifications

  • 3 years of production experience in data engineering roles (open to senior and junior candidates for the right talent).

  • Proficiency with Python Data Engineering stack.

  • Hands-on experience with dbt for data transformation.

  • Experience with Apache Airflow or Cloud Composer for workflow orchestration.

  • Proficiency with Docker for containerization and Kubernetes for orchestration.

  • Experience utilizing CI/CD and Infrastructure-as-Code (IaC) tools in a production environment.

  • Interest or experience in machine learning, LLMs, and Natural Language Processing (NLP) is highly desirable.

  • Strong understanding of data architecture and data modeling principles.

  • Familiarity with GitHub for version control and GCP for cloud deployments.

Ready to Work With Us?

Can’t find the exact job description that you need? Talk to us.