GCP Data Engineer - Remote

Overview

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a GCP Data Engineer in India.

This role offers the opportunity to design, develop, and maintain a robust data ecosystem in the Google Cloud Platform (GCP), supporting large-scale analytics and operational needs. You will be responsible for end-to-end data pipeline creation, data modeling, and database optimization, working closely with clients and cross-functional teams. The position requires strong technical expertise in Python, SQL, and cloud-based systems, along with experience in data quality frameworks and performance tuning. This is an excellent opportunity for a hands-on engineer who enjoys solving complex data problems, mentoring junior team members, and contributing to high-impact projects in a flexible, remote-first environment. You will directly influence the quality, efficiency, and scalability of the company’s cloud data infrastructure.

Accountabilities

• Design, build, and deploy scalable data pipelines on GCP to ingest and process data from multiple sources such as databases, APIs, and streaming platforms.
• Model, document, and optimize data storage architectures including data lakes, warehouses, and distributed file systems.
• Implement performance optimization techniques such as partitioning, indexing, compression, and caching to enhance data retrieval and processing efficiency.
• Conduct data quality checks using frameworks like CloudDQ or PyDeequ, ensuring high standards across the data ecosystem.
• Troubleshoot and resolve complex data processing and infrastructure issues, supporting seamless operations and new feature delivery.
• Mentor and guide junior data engineers, sharing expertise in cloud data engineering best practices and tools.

In Short

• Opportunity to design and maintain a data ecosystem on GCP.
• End-to-end data pipeline creation.
• Data modeling and database optimization.
• Strong technical expertise required in Python and SQL.
• Experience with data quality frameworks.
• Mentorship opportunities for junior engineers.
• Flexible, remote-first work environment.
• Influence on cloud data infrastructure quality and efficiency.

Requirements

• Strong technical expertise in Python and SQL.
• Experience in cloud-based systems.
• Knowledge of data quality frameworks.
• Experience in performance tuning.
• Ability to troubleshoot complex data issues.
• Mentoring skills for junior team members.

Benefits

• Work in a flexible, remote-first environment.
• Opportunity to contribute to high-impact projects.
• Influence on the company’s cloud data infrastructure.