Description

You will build and maintain data pipelines and automate deployment workflows within the Azure ecosystem.

This role is on-site.

Responsibilities

• Develop and manage data pipelines, preprocessing, and large dataset handling.
• Implement CI/CD pipelines and manage application onboarding to the Azure cloud.
• Orchestrate data workflows using Airflow, developing and troubleshooting DAGs.
• Monitor, evaluate, and maintain the performance of deployed AI/ML models in production.

Required Skills

• 5+ years of professional experience in a relevant engineering role.
• Strong proficiency in Python and SQL, including experience with PostgreSQL DB.
• Hands-on experience with Azure DevOps, Azure Data Factory, and Azure Cloud services.
• Expertise in containerization using Docker and orchestration with Kubernetes.
• Experience implementing and managing CI/CD pipelines.
• Familiarity with Data Science concepts, including ML model monitoring and governance.
• Experience utilizing Airflow for data orchestration.
• Familiarity with ELK stack and dashboarding tools.

Preferred Skills

• Knowledge of data privacy and security best practices.

Key Skills

Education

Any Graduate