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Tier-1 brand, metro location, mid-senior level, and broad GCP data skillset increase competition.
GCP-focused data engineering skills transfer across industries but require cloud platform specialization and consulting experience.
Mandatory 7–10 years, specific GCP BigQuery/Spark expertise and managerial/client experience create stringent filters.
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Lead design and delivery of large-scale data engineering solutions on Google Cloud Platform (GCP).
Define architecture and engineering standards for cloud-based data platforms, oversee development and optimization of data pipelines using BigQuery, Dataproc, Cloud Composer, Python, and Spark.
Manage end-to-end project delivery including resource planning, risk management, stakeholder communication, and lead/mentor engineering teams.
7 to 10 years of experience leading data engineering initiatives on Google Cloud Platform.
Strong expertise in BigQuery, Cloud Composer, and Dataproc, with advanced proficiency in Python, SQL, PL/SQL, and Spark/PySpark.
Bachelor's degree required (B.E./B.Tech/MCA/M.Tech/M.Sc.).
Base location Pune/Bangalore/Hyderabad with hybrid working model.
Experienced leader in architecting and delivering enterprise cloud data platforms with strong operational and governance focus on GCP.
Demonstrated ability to manage complex technical teams and large-scale project deliveries with stakeholder management and technical leadership.
Familiarity with modern data architectures (Data Lake, Lakehouse), AI/ML data engineering ecosystems, and cloud migration/modernization initiatives.