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Tier-1 brand, mid-level generalist data engineer in metro with broad GCP skills increases applicant competition.
GCP BigQuery and Datafusion focus limits portability, though core data engineering skills remain transferable.
Explicit 4–5 years requirement plus mandatory GCP BigQuery, Datafusion, SQL and Python increases strictness.
Design, develop, and maintain cloud-native data solutions using GCP services including BigQuery, Datafusion, Cloud Functions, App Engine, and Cloud Run.
Develop and optimize SQL and PL/SQL queries, ensuring performance, security, and scalability for cloud applications.
Collaborate with data engineers on large dataset processing and troubleshoot production cloud applications while following agile methodologies.
4–5 years of relevant data engineering experience.
Proficient in SQL, PL/SQL, Google Cloud Platform including BigQuery and Datafusion, and Python.
Graduate or postgraduate degree in a technical stream, preferably Engineering.
Location requirement: Pune, Bangalore, or Ahmedabad (permanent role).
Experienced in designing scalable data warehousing solutions within GCP ecosystem.
Skilled in cloud-native application development with performance optimization.
Capable of working in agile teams using SCRUM and SAFe methodologies supporting global shared services projects.