GCP Cloud Engineer

We are seeking a GCP Cloud Engineer with hands-on experience in Google Cloud Platform services and modern data engineering tools.

The ideal candidate will be responsible for building and maintaining scalable data pipelines, supporting cloud-based data solutions, and collaborating with cross-functional teams to deliver high-quality data products.

A strong desire to learn, problem-solving skills, and adaptability are essential for success in this role.

Key Responsibilities

• Design, develop, and maintain data pipelines using GCP services such as Cloud Composer, BigQuery, Dataflow, and Dataplex.
• Write efficient and scalable code using Python, SQL, and PySpark.
• Integrate and manage data workflows using SnapLogic and DataStage (nice to have).
• Collaborate with senior data engineers and project teams to implement cloud-based data solutions.
• Support data warehousing initiatives and ensure data quality and integrity.
• Participate in Agile development processes and contribute to sprint planning and task tracking using Jira.
• Document technical processes and maintain clear, organized project documentation.

• Hands-on experience with:
• Google BigQuery
• Google Dataflow
• Google Dataplex
• Python, SQL, PySpark
• SnapLogic
• Strong problem-solving and analytical skills.
• Ability to take direction from management and senior team members.
• Excellent documentation and communication skills.
• Strong desire and ability to learn new technologies and tools.