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 robust expertise in BigQuery, Python, and modern data engineering practices, with a focus on performance, reliability, and cost optimization.nnnKey ResponsibilitiesnnDesign, develop, and maintain scalable and robust data pipelines on GCPnBuild and optimize data warehouses using BigQuery (partitioning, clustering, query tuning)nDevelop ETL/ELT pipelines using Python and GCP-native toolsnIntegrate data from multiple sources including APIs, databases, and streaming platformsnEnsure high performance and cost efficiency of data processing systemsnCollaborate with data analysts, data scientists, and business stakeholdersnImplement data quality checks, governance, and security standardsnMonitor, debug,



and optimize data workflows and pipelinesnSupport batch and real-time data processing requirementsnnRequired Skillsnn5+ years of hands-on experience in Data EngineeringnStrong experience with Google Cloud Platform (GCP)nExpertise in BigQuery (data modeling, performance tuning)nStrong programming skills in Python (Pandas; PySpark is a plus)nExperience with Cloud Composer / Apache AirflownKnowledge of Cloud Storage, Pub/Sub, DataflownAdvanced SQL and strong data warehousing conceptsnExperience building scalable ETL/ELT pipelinesnnPreferred SkillsnnExperience with Apache Spark / DatabricksnFamiliarity with CI/CD pipelines and DevOps practicesnKnowledge of data visualization tools like Tableau / LookernExperience with streaming data processingnExposure to data lake / lakehouse architecturesnnEducational QualificationnnBachelors or Masters degree in Computer Science, IT, or related fieldnnGood to HavennGCP Certification (e.g., Professional Data Engineer)nExperience working in Agile/Scrum environments .

📌 GCP Data Engineer Pyspark/Scala (Hyderabad)
🏢 Zorba Consulting India
📍 Hyderabad