Data Engineer

Google Cloud Platform is seeking a Data Engineer to join their team in building and implementing cloud-based data solutions. This role sits at the intersection of data engineering and cloud infrastructure, working with Google Cloud Platform (GCP) to help customers transform their businesses through data.

The position involves working directly with customers to design and implement large-scale data processing systems, develop scalable data pipelines, and guide them through data migrations and modernization projects. You'll be responsible for helping customers leverage GCP's analytical and transactional data stores like BigQuery, CloudSQL, and AlloyDB.

As a Data Engineer, you'll collaborate with various stakeholders to translate requirements into architectural solutions, implement data quality and governance procedures, and manage complex projects. The role requires expertise in distributed data processing frameworks, SQL, and modern cloud technologies. You'll also work with cutting-edge technologies including NoSQL databases, machine learning tools, and infrastructure as code.

The ideal candidate will have a strong technical background with experience in data warehousing, ETL/ELT processes, and big data technologies. Knowledge of encryption techniques and security practices is valuable, as is experience with machine learning and AI technologies. This role offers the opportunity to work with enterprise-grade solutions and shape the future of cloud data infrastructure.

Google offers a collaborative environment where you'll work alongside technical leads and partners to drive excellence in product development. The position includes opportunities for travel to customer sites for solution deployment and educational workshops. This is an excellent opportunity for someone passionate about data engineering who wants to work with cutting-edge cloud technology and help shape the future of data processing at scale.