Back
Specialized GCP certification requirement plus metro locations and mid-senior level make competition medium.
Strong GCP certification and cloud-specific skills make background fit highly sensitive across industries.
Mandatory 6+ years, 4+ years GCP, and required GCP Data Engineer certification create high shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and optimize scalable ETL/ELT batch and streaming data pipelines on Google Cloud Platform using BigQuery, Python, SQL, and Dataflow/Dataproc.
Build and maintain efficient data solutions including performance optimization of BigQuery through partitioning, clustering, and cost control.
Implement data quality frameworks, monitoring, reconciliation, production support and collaborate with cross-functional teams for reliable data platforms.
6+ years of experience in Data Engineering, ETL/ELT, Data Warehousing, or Analytics Engineering.
4+ years of hands-on Google Cloud Platform (GCP) experience (Mandatory).
Google Cloud Professional Data Engineer Certification (Mandatory).
Location: Pune, Bangalore, or Hyderabad with hybrid working model.
Expert in building scalable data pipelines and optimizing BigQuery for performance and cost on GCP environments.
Strong technical proficiency with Python, SQL, Cloud Composer (Airflow), and Dataflow (Apache Beam) or Dataproc/Spark ecosystem, indicating readiness to handle complex data workflows.
Experienced in collaborating across architects, analysts, and business teams to deliver enterprise-scale data platforms, suggesting ability to work in matrixed environments.