Data Engineer

Job Description – Senior Data Engineer (GCP)Role OverviewWe are looking for a Senior Data Engineer with 4+ years of experience in building scalable data pipelines and strong hands-on expertise in Google Cloud Platform (GCP). The ideal candidate will work closely with data science, analytics, and business teams to design, build, and optimize reliable data solutions.Key ResponsibilitiesDesign, develop, and maintain scalable ETL/ELT data pipelines on GCP.Build and optimize BigQuery datasets, views, partitioned and clustered tables.Develop batch and near-real-time pipelines using Dataflow / Apache BeamIngest data from multiple sources (APIs, databases, files, streaming systems)Implement data quality checks, validation, and monitoringOptimize query performance and control GCP cost usageWork with Cloud Storage, Pub/Sub, Composer (Airflow) for orchestrationCollaborate with Data Scientists & Analysts to support ML and BI use casesEnsure security, IAM, and governance best practicesSupport production deployments, monitoring and troubleshootingParticipate in data architecture and design discussions, proposing best practices and improvementsOptimize performance, reliability, and cost of data solutionsImplement data quality checks, validation, and reconciliation logic in PythonProgramming LanguagesSQLPythonPySpark

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