GCP, Google Cloud Platform, Python, BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Functions, Cloud Composer, Airflow, SQL, ETL, ELT, Data Engineering, Data Pipelines, Streaming, Batch Processing, Cloud Storage, Cloud SQL, Vertex AI, Gemini, Generative AI, Agentic AI, LLM, RAG, Vector Search, Semantic Search, Spark, PySpark, Terraform, Data Warehouse, Data Lake, Lakehouse, CI/CD, Financial Services. The ideal candidate will possess strong Python development skills, hands-on experience with modern data engineering technologies, and expertise in building both batch and real-time data pipelines supporting analytics, AI/ML, and enterprise reporting initiatives.