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KANINI is looking for a highly skilled Data Engineer with deep expertise in Google Cloud Platform (GCP) and modern data architecture. If you’re passionate about building scalable data systems and working with cutting-edge cloud technologies, this is a great opportunity!Key ResponsibilitiesDesign and build scalable batch & real-time data pipelines on GCPImplement Medallion Architecture (Bronze, Silver, Gold)Develop high-performance data transformations using Python & PySparkOptimize complex SQL queries for analyticsWork extensively with BigQuery for large-scale data processingBuild and deploy pipelines using Cloud DataflowOrchestrate workflows with Cloud Composer (Airflow)Manage storage using Google Cloud Storage (GCS)Implement CI/CD pipelines using Git-based toolsEnsure data security and governance using GCP IAM✅ Required SkillsStrong hands-on experience with GCPExpertise in BigQuery (partitioning, clustering, optimization)Experience with Medallion Data ArchitectureStrong Python & PySpark skillsAdvanced SQL (joins, window functions, tuning)Experience with Dataflow & AirflowKnowledge of GCS, CI/CD, and cloud security⭐ PreferredExperience with enterprise data platformsKnowledge of data warehousing & data lakesExposure to real-time streaming frameworksFamiliarity with Agile/Scrum
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