Senior Data Engineer

Senior Data Engineer (GCP) Experience- 4-8 Years Key Requirements: 5+ years of experience in data engineering with cloud-native environments. Strong expertise in GCP (BigQuery, Dataflow, Cloud Composer, Pub/Sub, Cloud Storage, Dataplex, Terraform, Cloud Build). Advanced SQL and production-level Python skills. Experience with data modelling (Kimball, 3NF, Data Vault), CI/CD, and legacy-to-cloud migrations. Proven technical leadership, architecture design, mentoring, and stakeholder communication. Bachelor's degree in Computer Science or related field (or equivalent experience). Preferred: GCP Professional Data Engineer certification. Experience with AI/ML data pipelines, Vertex AI, vector databases, dbt/Dataform. Financial services domain experience and event-driven architectures. Familiarity with AI-assisted development tools (e.g., Copilot, Gemini, Cursor). What You'll Get: Opportunity to lead a high-impact GCP data platform initiative. Exposure to GenAI, ML platforms, and modern data engineering practices. Collaboration with global engineering teams. Certification support, advanced training, and a clear path to Lead Engineer . Hybrid work environment.