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Mid-level GCP data role in metro with popular title and 3–6 year range increases competition.
Technical skills transferable, but banking and regulatory experience preference increases industry specificity moderately.
Mandatory 5+ years with 3+ GCP and BigQuery plus banking domain increases filter strictness.
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Lead migration of a large-scale wholesale banking data mart from on-prem Teradata to Google BigQuery, including schema redesign, SQL conversion, and ETL/ELT orchestration.
Design and optimize BigQuery data models focusing on performance, cost efficiency, data accuracy, lineage, and regulatory compliance.
Develop and maintain GCP data pipelines, data warehouses, workflows, and secure resources while collaborating with business and technical teams for production-ready analytics and post-migration support.
Minimum 5 years of experience in Data Engineering or Cloud Platform Engineering.
At least 3 years of hands-on experience with Google Cloud Platform (GCP), specifically BigQuery and related services.
Experience in Banking, Financial Services, or Regulatory Reporting domains is mandatory.
Location requirement: Hyderabad or Bangalore.
Experienced in enterprise-scale BigQuery data platform implementation in banking or financial services contexts.
Capable of designing cost-governed, monitored, and secure GCP data solutions including workflow orchestration and event-driven architectures.
Proficient in collaborating across technical and business teams to deliver compliant, production-ready analytics in regulated environments.