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Why hire from the Philippines?
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.
Manpower Genius is a headhunting and recruitment agency for UK & US companies looking for remote staff. We specialize in recruiting professionals for the latest jobs in the US, UK, Europe and Canada.
Bournemouth, Dorset, England, UK
BSA Twin Tower, Bank Drive, Ortigas Center, Mandaluyong, PH