GCP Data Engineer

Hiring: GCP Data Engineer Location: Phoenix, AZ Interview Type: Face to Face Employment Type: Contract / Long-Term We are looking for an experienced GCP Data Engineer with strong hands-on expertise in Spark, PySpark, Python, BigQuery, and Google Cloud Platform .The ideal candidate should have experience designing and building large-scale data processing solutions and should be comfortable working with high-volume datasets in enterprise environments . Key Responsibiliti • esDesign, build, and maintain scalable data pipelines on Google Cloud Platfor • m.Develop large-scale data processing solutions using PySpark, Spark, and Pytho • n.Work extensively with Spark DataFrames for transformation and processing of large dataset • s.Build and optimize data workloads using BigQuer • y.Develop and support data pipelines usin • g:Google Cloud Storage (GC • S)Datapr • ocBigQue • ryCloud Composer / Apache Airfl • owDesign solutions for processing large volumes of structured and unstructured dat • a.Optimize Spark jobs for performance, scalability, and reliabilit • y.Develop complex SQL queries and data transformation logi • c.Support enterprise-level big data platforms and data engineering solution • s.Perform analysis and troubleshooting across large dataset • s.Collaborate with engineering, analytics, and business intelligence team • s.Participate actively in Agile/Scrum delivery team • s.Contribute to architecture, design, code reviews, testing, and production suppor t. Qualificati • onsBachelor's degree in Computer Science, Engineering, Applied Mathematics, Information Technology, or a related field, or equivalent professional experien • ce.6+ years of experience working as a Big Data Engineer / Data Engine • er.Strong hands-on experience with Spark, PySpark, and Pyth • on.Strong GCP experien • ce.Experience processing very large datasets using BigQuery and Spa • rk.Strong SQL skil • ls.Experience designing enterprise-scale big data platfor • ms.Experience delivering large-scale data engineering and business intelligence solutio • ns.Ability to clearly explain previous data engineering use cases, technical solutions, and business outcom • es.Experience working within mature, self-organized Agile tea ms.