Description

You will design, build, and maintain data pipelines within Google Cloud Platform.

Responsibilities

• Implement ETL workflows using PySpark, Dataflow, and Airflow.
• Collaborate with cross-functional teams to ensure seamless data integration and delivery.
• Apply CI/CD practices to automate deployment processes.
• Optimize the performance and scalability of existing data solutions.

Required Skills

• 5+ years of experience in data engineering.
• Strong proficiency in Python and PySpark.
• Hands-on experience with Apache Airflow and Google Cloud Dataflow.
• Knowledge of CI/CD pipelines and DevOps practices.
• Solid understanding of cloud-based data engineering principles, preferably on GCP.
• Problem-solving mindset with attention to detail.

Key Skills

Education

Any Gradute