Gcp Data Engineer

Vsquare Systems; Pune District; Hybrid; INR 1,200,000 - 2,500,000; Full time

Job summary

Vsquare Systems in Pune is seeking a GCP Data Engineer to design, build, and migrate data pipelines and data warehouse workloads to Google Cloud Platform, ensuring data quality, performance, and scalable architecture.

The role focuses on migrating ETL pipelines from Teradata EDW to GCP, crafting complex SQL queries, and building pipelines with Dataform and Cloud Composer, while leveraging BigQuery, Cloud Run, and monitoring tools.

Qualifications

• Bachelor’s or Master’s degree in Engineering, Computer Science, Information Technology, or related technical field.
• Hands-on experience with designing data pipelines and data warehousing on cloud platforms.
• Proficiency with BigQuery, Dataform, Cloud Composer, and SQL optimization.

Responsibilities

• Design, develop, and maintain data pipelines on Google Cloud Platform (GCP).
• Migrate ETL pipelines from Teradata EDW to GCP.
• Develop and optimize complex SQL queries for data warehousing solutions.
• Build and manage pipelines using Dataform and Cloud Composer.
• Work with BigQuery, Cloud Run, and Stackdriver for data processing and monitoring.
• Collaborate with stakeholders to identify and resolve data quality issues and perform root cause analysis.
• Implement and manage CI/CD pipelines using Jenkins or Cloud Build.
• Participate in Agile development practices, including sprint planning, stand-ups, and retrospectives.
• Ensure high performance, scalability, and reliability of data solutions.

Skills

GCP

BigQuery

Dataform

Cloud Composer

Cloud Run

SQL

Education

Bachelor’s or Master’s degree in Engineering, Computer Science, Information Technology, or related technical field

Tools

GitHub

CI/CD practices

Jenkins / Cloud Build

ITSM and JIRA

JSON

AI-based SQL translation tools

Job description

Job Description GCP Data EngineerRole

Title:GCP Data Engineer
Experience:4 12 Years
Location:Pune

Role PurposeTo design, build, and migrate data pipelines and data warehouse workloads to Google Cloud Platform (GCP) while ensuring data quality, performance, and scalable architecture.

Key Responsibilities

• Design, develop, and maintain data pipelines on Google Cloud Platform (GCP).
• Migrate ETL pipelines from Teradata Enterprise Data Warehouse (EDW) to GCP.
• Develop and optimize complex SQL queriesbased on business requirements for data warehousing solutions.
• Build and manage pipelines using Dataform and Cloud Composer.
• Work with BigQuery, Cloud Run, and Stackdriverfor data processing and monitoring.
• Collaborate with stakeholders to identify and resolve data quality issuesand perform root cause analysis.
• Implement and manage CI/CD pipelinesusing tools such as Jenkins or Cloud Build.
• Participate in Agile development practices, including sprint planning, stand-ups, and retrospectives.
• Ensure high performance, scalability, and reliability of data solutions.

Required SkillsPrimary Skills

• Google Cloud Platform (GCP)
• BigQuery
• Dataform
• Cloud Composer
• Cloud Run
• Strong SQL expertise

Secondary Skills

• GitHub
• CI/CD practices
• Jenkins / Cloud Build
• ITSM and JIRA
• JSON
• AI-based SQL translation tools

Good to Have

• Experience with Teradata EDW
• Exposure to Agile or Lean methodologies

Desired Experience

• 4–6 years of experiencein Data Engineering or Data Warehouse implementations.
• Hands‑on experience in building data pipelines using Dataform.
• Strong understanding of data warehouse concepts and architecture.
• Experience working with BigQuery, Cloud Composer, Cloud Run, and monitoring tools.
• Experience with CI/CD pipelines and DevOps practices.

Educational Qualifications

• Bachelor’s or Master’s degree in Engineering, Computer Science, Information Technology, or related technical field.

Certifications (Preferred)

• Google Cloud Professional Data Engineer Certification

Key Competencies

• Strong analytical and problem-solving skills
• Excellent communication (written and verbal)
• Ability to work in cross‑functional and global teams
• Proactive issue identification and risk mitigation
• Process improvement mindset
• Ability to work in fast‑paced and dynamic environments