Description

You will build and maintain data pipelines and infrastructure using DataOps principles.

Responsibilities

• Build and manage data pipelines using Airflow DAGs.
• Implement and maintain CI/CD workflows via GitHub.
• Manage cloud infrastructure within AWS environments.
• Develop and optimize data workflows using Python and SQL.

Required Skills

• 2 years of professional experience in data engineering or related roles.
• Proficiency with Python and SQL.
• Hands-on experience with Snowflake.
• Experience implementing DataOps practices.
• Knowledge of Airflow DAGs.
• Experience with AWS services including EKS, EC2, CloudWatch, SQS, and SNS.
• Proficiency with Git and CI/CD pipelines.

Key Skills

Education

Not specified