Senior GCP Data Engineer, BigQuery, and Big data

We are looking for immediate joiners; you must be available to start within 0 to 15 days. About the Role We are looking for a skilled Data Engineer with strong experience in Google Cloud Platform (GCP), BigQuery, and Big data to design and maintain scalable data pipelines and analytics infrastructure. You will play a key role in building reliable data systems that support reporting, analytics, and advanced data use cases. Experience with Apache Pinot for real-time analytics is a strong plus. Key Responsibilities Design, build, and maintain scalable data pipelines on GCP Develop and optimize data models using dbt Build and manage data warehouses in BigQuery Implement ELT/ETL processes for structured and semi-structured data Ensure data quality, reliability, and performance optimization Optimize query performance and cost efficiency in BigQuery Implement monitoring and validation frameworks for data pipelines Support real-time analytics use cases (Pinot experience is a plus) Maintain documentation and data governance best practices Required Skills & Qualifications 7+ years of experience in Data Engineering Strong hands-on experience with Google Cloud Platform (GCP) Expertise in BigQuery and Big Data concepts. Good understanding of dbt Strong SQL skills (complex transformations and optimization) Experience designing scalable data models Experience building and maintaining ETL/ELT pipelines Understanding of data warehousing concepts Experience with version control (Git) Strong understanding of data performance tuning and cost optimization. Nice to Have Experience with Apache Pinot (real-time OLAP systems) Experience with streaming pipelines (Pub/Sub, Kafka, etc.) Knowledge of data governance and security best practices Experience in high-volume production environments Soft Skills Strong analytical thinking Attention to detail Ownership mindset Ability to work cross-functionally Strong communication skills