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We are looking for a highly skilled GCP Data Engineer with 5+ years of experience in designing and building scalable data solutions on Google Cloud Platform. The ideal candidate will have solid expertise in BigQuery, Python, and modern data engineering practices, with a focus on performance, reliability, and cost optimization. Key Responsibilities Design, develop, and maintain scalable and robust data pipelines on GCP Build and optimize data warehouses using BigQuery (partitioning, clustering, query tuning) Develop ETL/ELT pipelines using Python and GCP-native tools Integrate data from multiple sources including APIs, databases, and streaming platforms Ensure high performance and cost efficiency of data processing systems Collaborate with data analysts, data scientists, and business stakeholders Implement data quality checks, governance, and security standards Monitor, debug, and optimize data workflows and pipelines Support batch and real-time data processing requirements Required Skills 5+ years of hands-on experience in Data Engineering Strong experience with Google Cloud Platform (GCP) Expertise in BigQuery (data modeling, performance tuning) Solid programming skills in Python (Pandas; PySpark is a plus) Experience with Cloud Composer / Apache Airflow Knowledge of Cloud Storage, Pub/Sub, Dataflow Advanced SQL and solid data warehousing concepts Experience building scalable ETL/ELT pipelines Preferred Skills Experience with Apache Spark / Databricks Familiarity with CI/CD pipelines and DevOps practices Knowledge of data visualization tools like Tableau / Looker Experience with streaming data processing Exposure to data lake / lakehouse architectures Educational Qualification Bachelors or Masters degree in Computer Science, IT, or related field Good to Have GCP Certification (e.g., Professional Data Engineer) Experience working in Agile/Scrum environments Client industry you are hiring for Skills: scala,python,gcp,spark .