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Tier-1 brand plus mid-level generalist GCP data role in metro attracts many qualified applicants.
Data engineering skills transfer across industries, though GCP specialization moderately narrows candidate fit.
Explicit 5–8 years requirement and mandatory GCP data engineering experience enforce strict screening.
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Lead client relationships and serve as the primary contact ensuring alignment on goals, timelines, budgets, and outcomes for GCP data engineering programs.
Design and build scalable ETL/ELT pipelines and cloud-native data architectures on Google Cloud Platform, optimizing performance and supporting on-premise to cloud migration.
Mentor junior engineers, enforce engineering standards, participate in agile delivery and CI/CD processes, and promote data governance and security best practices.
5–8 years of overall IT experience with minimum 3+ years specifically in GCP Data Engineering projects.
Strong hands-on expertise with Google Cloud Platform services including BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Composer (Airflow).
Proficient in Python and SQL programming along with experience in Spark, Hadoop, or other distributed data processing frameworks.
Bachelor's degree in Engineering (B.Tech/BE or equivalent) required.
Experienced in consulting or large-scale enterprise environments managing complex data modernization and migration initiatives on GCP.
Skilled in designing high-performance, scalable cloud data solutions and implementing best practices in data governance and security.
Demonstrates ability to collaborate cross-functionally with architects, analysts, business stakeholders, and to lead teams through mentoring and knowledge sharing.