This is a remote position. KANINI is seeking a highly skilled Senior Data Engineer with deep expertise in Google Cloud Platform (GCP) and modern data architecture. The ideal candidate will have hands-on experience designing scalable data pipelines, implementing Medallion Architecture, and building robust enterprise-grade data solutions. This role requires strong technical proficiency in BigQuery, PySpark, Dataflow, and Airflow, along with a solid understanding of cloud data governance, performance optimization, and CI/CD practices. Key Responsibilities Design, develop, and maintain scalable batch and real-time data pipelines on GCP Implement and manage Medallion Architecture (Bronze, Silver, Gold layers) for data processing Build high-performance data transformations using Python and PySpark Develop and optimize complex SQL queries for analytical workloads Work extensively with BigQuery for large-scale data processing and performance tuning Develop and deploy pipelines using Cloud Data...