GCP Data Engineer

Job Description – GCP Data Engineer
Role Title: GCP Data Engineer
Experience: 4 – 6 Years
Location: Pune
Role Purpose
To 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 queries based on business requirements 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 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 Skills
Primary 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 experience in 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

Work arrangement
No