Description

You will design and develop data engineering and ETL pipeline solutions within the Google Cloud Platform ecosystem.

This role is on-site.

Responsibilities

• Design and develop ETL data pipelines based on engineering best practices.
• Write complex SQL queries for data processing and manipulation.
• Implement Python code following standards for quality, security, and resiliency.
• Build and maintain CI/CD pipelines with version control for automated deployments.
• Manage data workflows using orchestration tools and cloud storage.

Required Skills

• 10+ years of experience in Data Engineering and ETL pipeline design.
• 5+ years of ETL experience on Google Cloud Platform (GCP).
• 5+ years of ETL development using Dataflow and Python.
• 3+ years of experience with Google Cloud Storage (GCS).
• 3+ years of experience with Cloud Composer or Airflow.
• 3+ years of experience with BigQuery or PostgreSQL.
• Expertise in Python programming, including security vulnerability handling and reliability best practices.
• Strong proficiency in writing complex SQL.
• Deep understanding of database concepts and ETL methodologies.

Preferred Skills

• Knowledge of GenAI applications.

Key Skills

Education

Any Gradute