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Popular Data Engineer role, metro locations, and broad GCP skill requirements increase competition despite mandatory certification.
GCP/BigQuery specialization raises domain bias, though core data engineering skills remain transferable across industries.
Mandatory 6+ years, 4+ years GCP, and required GCP certification make shortlisting highly strict.
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Design, develop, and optimize scalable ETL/ELT data pipelines and enterprise data solutions on Google Cloud Platform using BigQuery, Python, and SQL.
Develop batch and streaming data pipelines using Dataflow (Apache Beam) or Dataproc (Spark/PySpark) and maintain workflows with Cloud Composer (Airflow).
Optimize BigQuery performance (partitioning, clustering, cost) and ensure data quality, monitoring, reconciliation, and production support.
6+ years experience in Data Engineering, ETL/ELT, Data Warehousing, or Analytics Engineering.
4+ years hands-on experience with Google Cloud Platform (GCP) mandatory.
Google Cloud Professional Data Engineer Certification mandatory.
Location: Pune, Bangalore, or Hyderabad (Hybrid work model).
Experienced with Google Cloud data engineering stack including BigQuery, Dataflow, Cloud Composer, and Pub/Sub in enterprise environments.
Skilled in optimizing data warehouse performance, data modeling, and query optimization on GCP.
Proven ability collaborating with architects, analysts, and business teams to deliver reliable, scalable data platforms.