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Tier-1 brand, mid-level popular GCP Data Engineer role in metro locations increases candidate competition.
GCP-focused data engineering skills are transferable across industries but favor cloud-experienced candidates.
Explicit 3–5 years plus mandatory GCP, BigQuery, PySpark and Cloud Composer skills increases filtering strictness.
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Design, develop, and maintain cloud-native data engineering solutions on Google Cloud Platform (GCP).
Build and optimize ETL/ELT pipelines using BigQuery, Dataproc, PySpark, and workflow orchestration with Cloud Composer.
Troubleshoot data pipeline issues, ensure data quality, support performance optimization, and collaborate with business and technical teams.
3-5 years of hands-on experience in GCP Data Engineering.
Strong proficiency in Python programming, SQL, and PL/SQL.
Experience with GCP components: BigQuery, Dataproc, Cloud Composer, Cloud Storage, and Pub/Sub.
Educational qualifications: B.E./B.Tech/MCA/M.Tech/M.Sc.
Experienced in cloud-native data engineering on GCP with strong technical knowledge of ETL/ELT, Spark/PySpark, and data warehousing concepts.
Capable of working with minimal supervision while delivering quality solutions and troubleshooting complex data pipeline issues.
Familiar with Agile methodologies, CI/CD implementation, data governance, and security best practices in hybrid work environments based in Pune, Bangalore, or Hyderabad.