GCP Engineer - BigQuery/Data Build Tool in Bangalore, भारत

Consultant - GCP Engineer | 4 - 6 Years | BangaloreHiring a hands-on GCP Engineer with strong experience in Google Cloud Platform (GCP), BigQuery, and dbt. This is an excellent opportunity for professionals who enjoy building scalable cloud-based data solutions, developing data transformation workflows, optimizing data models, and ensuring data quality and https://jobeax.com/link/yp0QHzHJ1sB7h69L : Bangalore (Hybrid)Experience : 4 - 6 YearsYour Future Employer : A leading global AI and Analytics organization offering an opportunity to work on advanced data engineering, cloud data platforms, analytics, and AI-driven solutions for global https://jobeax.com/link/fpQVCTW857iKDlhE : - Design, develop, and maintain scalable data pipelines and cloud-based data solutions using Google Cloud Platform (GCP).- Work extensively with Google BigQuery for data storage, processing, transformation, and analytical workloads.- Develop and maintain data transformation workflows using dbt (data build tool).- Write, optimize, and maintain complex SQL queries to support efficient data processing and analytics.- Build, maintain, and optimize data models to support reporting, analytics, and business requirements.- Implement data quality checks, testing, and validation to ensure data accuracy, consistency, and reliability.- Optimize BigQuery queries and data models for performance, scalability, and cost efficiency.- Troubleshoot data pipeline issues and resolve data transformation and processing errors.- Collaborate with data engineers, analysts, and business stakeholders to understand requirements and deliver effective data solutions.- Follow best practices for version control, documentation, testing, deployment, and data https://jobeax.com/link/nGDv6LRH4SWIgcgy : - 4 - 6 years of hands-on experience in Data Engineering, Cloud Data Platforms, or a related field.- Strong practical experience with Google Cloud Platform (GCP).- Hands-on experience with Google BigQuery, including SQL development and query optimization.- Strong experience with dbt for data transformation, data modelling, and testing.- Proficiency in SQL, including complex queries, joins, aggregations, and performance optimization.- Good understanding of data warehousing concepts, data modelling, and ETL/ELT processes.- Experience in developing, maintaining, and troubleshooting data pipelines.- Knowledge of data quality, validation, testing, and data governance practices.- Strong analytical, problem-solving, and communication skills.- Immediate joiners preferred and willingness to work in a hybrid setup in https://jobeax.com/link/1C7KkXG7fgvKcci1 is in it for you : - Opportunity to work on cloud-based data engineering and analytics solutions.- Exposure to Google Cloud Platform, BigQuery, and modern data transformation technologies.- Opportunity to build scalable data pipelines and optimize data processing workflows.- Collaboration with experienced data and analytics professionals on global client projects. (ref:hirist.tech)