Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Strong brand, mid-level experience band, and metro location increase candidate competition.
Cloud data engineering skills are transferable across industries but require GCP-specific experience.
Explicit years, mandatory GCP experience, and specific tech stack enforce strict filters.
Design, develop, and maintain scalable ETL/ELT data pipelines and data ingestion solutions on Google Cloud Platform using services like BigQuery, Dataflow, and Pub/Sub.
Support migration of data workloads from on-premises or legacy systems to GCP and implement data quality validations and monitoring.
Collaborate with stakeholders, architects, and delivery teams in agile environments to ensure timely, secure, and high-quality project deliveries.
3-5 years of overall IT experience with minimum 2+ years hands-on in GCP Data Engineering projects.
Proficiency in Python and SQL with experience in developing data processing frameworks and optimizing SQL queries.
Strong working knowledge of GCP services including BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Cloud Composer (Airflow).
Bachelor's degree in Engineering (B.Tech/BE) or equivalent.
Experienced in cloud-based data integration, transformation, and analytics solutions, preferably in consulting or enterprise-scale project environments.
Able to work collaboratively in Agile/Scrum settings and contribute to both technical implementation and documentation.
Familiar with DevOps practices like Git source control, CI/CD pipelines, and data governance/security principles relevant to cloud data architectures.