Face To Face Hackathon For GCP Data Engineer on 26-Sep in Noida

Job highlights 5+ years experience in GCP Data Engineering with expertise in BigQuery, Dataproc, PySpark, DBT, and Python Design, develop, and maintain scalable data pipelines and data warehousing solutions on GCP; optimize ETL/ELT processes and query performance; ensure data quality and compliance; collaborate with stakeholders Job match score Early Applicant Keyskills Location Work Experience Job description Job Title: GCP Data Engineer Experience: 5+ Years Location: Noida, Bangalore, Hyderabad, Chennai Employment Type: Full-Time Job Summary We are seeking a skilled GCP Data Engineer with 5+ years of experience in designing, developing, and maintaining large-scale data processing solutions on Google Cloud Platform (GCP). The ideal candidate should have strong expertise in BigQuery, Dataproc, PySpark, DBT, and Python, along with experience in building scalable data pipelines and optimizing data workflows for analytics and reporting. Key Responsibilities Design, develop, and maintain scalable data pipelines using GCP services. Build and optimize ETL/ELT processes using PySpark, Python, and DBT. Develop and manage data warehousing solutions using BigQuery. Create and execute batch and distributed data processing jobs using Dataproc. Implement data transformation, modeling, and testing frameworks using DBT. Optimize query performance, data storage, and processing efficiency in BigQuery. Work closely with Business Analysts, Data Scientists, and stakeholders to gather requirements and deliver data solutions. Ensure data quality, governance, security, and compliance standards are met. Troubleshoot production issues and provide performance tuning recommendations. Participate in code reviews, documentation, and best practice implementation. Required Skills Technical Skills 5+ years of experience in Data Engineering and ETL development. Strong experience with Google Cloud Platform (GCP). Hands-on expertise in: BigQuery Dataproc PySpark DBT (Data Build Tool) Python Experience in designing and developing large-scale data pipelines. Strong knowledge of SQL and data modeling concepts. Experience with BigQuery performance tuning and optimization. Understanding of CI/CD processes and version control tools such as Git. Experience in handling structured and semi-structured data. Role: Other Industry Type: IT Services & Consulting Department: Other Employment Type: Full Time, Permanent Role Category: Other Education UG: Any Graduate PG: Any Postgraduate read more Key Skills Skills highlighted with ‘‘ are preferred keyskills PysparkGCPBigqueryData Build ToolGoogle Cloud Platforms Python Report this job