GCP Data Lead

Experience: 5 to Not Available years

Location: Noida, India

Skills: Google BigQuery, SQL, Python, Google Dataflow, GCP, GCS Buckets, Firestore DB, Cloud Functions, Cloud Scheduler, APIs, MCP-based solutions, Pub/Sub, GitHub Actions, CI/CD, data quality, data validation, data testing, Google Cloud Qualified Data Engineer certification

Job Summary
The Technical Lead will be responsible for providing leadership and technical expertise in Google BigQuery, SQL, Python, and Google Dataflow. The role will involve driving the design, development, and implementation of data solutions using these technologies to meet business requirements.

Key Responsibilities
• Design, build, and maintain data engineering solutions on Google Cloud Platform (GCP).
• Develop and manage data pipelines using Python and SQL.
• Work with GCS Buckets, Firestore DB, Cloud Functions, and Cloud Scheduler for data processing and automation.
• Build and integrate APIs and MCP-based solutions as per business requirements.
• Implement and manage messaging solutions using Pub/Sub.
• Use GitHub Actions for CI/CD and deployment automation.
• Support forward deployable applications and ensure smooth production releases.




• Collaborate with stakeholders to understand requirements and define data strategy through discussions.
• Work closely with QA teams to ensure data quality, validation, and testing.
• Proactively follow up on open questions and provide solutions, not just execute tasks.
• Communicate clearly with team members and stakeholders on progress, risks, and dependencies.

Skill Requirements
• 6+ Robust experience in GCP Data Engineering technologies.
• 5+ Years of expertise in Python and SQL.
• 5+ Experience with Cloud Functions, GCS Buckets, Firestore DB, Cloud Scheduler, and Artifact Registry.
• 3+ Experience in API development and MCP-based architectures.
• 3+ Experience of Pub/Sub messaging systems.
• 3+ experience with GitHub Actions for CI/CD pipelines.
• Experience forward deployable applications.
• Ability to gather requirements and define strategy through conversations.
• Understanding of QA processes and data validation practices.

Other Requirements
• Google Cloud Qualified Data Engineer certification is preferred.

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