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 quick-paced and dynamic environments

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