Big Data Cloud Engineer - GCP

You are an experienced GCP Data Engineer with 8+ years of expertise in designing and implementing robust, scalable data architectures on Google Cloud Platform. Your role involves defining and leading the implementation of data architecture strategies using GCP services to meet business and technical requirements. As a visionary GCP Data Architect, you will be responsible for architecting and optimizing scalable data pipelines using Google Cloud Storage, BigQuery, Dataflow, Cloud Composer, Dataproc, and Pub/Sub. You will design solutions for large-scale batch processing and real-time streaming, leveraging tools like Dataproc for distributed data processing. Your responsibilities also include establishing and enforcing data governance, security frameworks, and best practices for data management. You will conduct architectural reviews and performance tuning for GCP-based data solutions, ensuring cost-efficiency and scalability. Collaborating with cross-functional teams, you will translate business needs into technical requirements and deliver innovative data solutions. The required skills for this role include strong expertise in GCP services such as Google Cloud Storage, BigQuery, Dataflow, Cloud Composer, Dataproc, and Pub/Sub. Proficiency in designing and implementing data processing frameworks for ETL/ELT, batch, and real-time workloads is essential. You should have an in-depth understanding of data modeling, data warehousing, and distributed data processing using tools like Dataproc and Spark. Hands-on experience with Python, SQL, and modern data engineering practices is required. Your knowledge of data governance, security, and compliance best practices on GCP will be crucial in this role. Strong problem-solving, leadership, and communication skills are necessary for guiding teams and engaging stakeholders effectively.,