GCP Cloud Engineer

Compunnel, Inc.; Minneapolis (MN); On-site; USD 90,000 - 130,000; Full time

Job summary

A leading company is seeking a GCP Cloud Engineer to design, develop, and maintain scalable data pipelines using Google Cloud services. The ideal candidate will possess strong problem-solving skills, and adaptability, and experience with data engineering tools like Python, SQL, and PySpark. This role involves close collaboration with cross-functional teams to ensure high-quality data products and support data warehousing initiatives. If you're eager to learn and excel in a dynamic environment, this position offers a great opportunity for professional growth.

Qualifications

• Hands-on experience with Google BigQuery, Dataflow, Dataplex.
• Proficiency in Python, SQL, PySpark.
• Strong problem-solving, analytical, and communication skills.

Responsibilities

• Design, develop, and maintain data pipelines using GCP services.
• Collaborate with senior data engineers for implementing cloud solutions.
• Document technical processes and maintain organized documentation.

Skills

Problem-solving

Communication

Analytical skills

Adaptability

Tools

Python

SQL

PySpark

SnapLogic

Google BigQuery

Google Dataflow

Google Dataplex

Jira

Job description

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.

Required Qualifications

• 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.