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Tier-1 brand, mid-level experience, metro locations, and common data-engineer skillset increase applicant competition.
GCP BigQuery and general data engineering skills are broadly transferable across industries.
Explicit 4–5 year requirement plus mandatory GCP/BigQuery/Datafusion/Python skills enforce high shortlisting strictness.
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Design, develop, and maintain cloud-native data engineering solutions using GCP services including BigQuery, Datafusion, Cloud Functions, App Engine, and Cloud Run.
Develop and optimize SQL and PL/SQL queries for large datasets and ensure performance, security, and scalability of cloud applications.
Collaborate with teams to troubleshoot, debug production issues, and participate in agile development practices (SCRUM, SAFe).
4–5 years of relevant experience in data engineering.
Proficiency in SQL, PL/SQL, GCP BigQuery, Datafusion, and Python.
Graduate or postgraduate degree in a technical stream (preferably Engineering).
Role location is Pune, Bangalore, or Ahmedabad.
Experienced in building scalable data solutions on Google Cloud Platform within large or global projects.
Skilled in applying cloud-native development principles and best practices for performance, security, and scalability.
Comfortable working in agile environments and collaborating cross-functionally to support data analytics and processing needs.