A globally leading technology company is looking for a Cloud Data Engineer to help build high-throughput data systems and deliver data-driven insights to product and engineering teams across the company. In this role, you will be a key contributor in building scalable data warehouses, developing efficient cloud-based data pipelines, and delivering curated datasets and analyses to support advanced technology development. This position offers the opportunity to work closely with cross-functional teams, enabling data-driven decision-making at scale. If you’re passionate about big data, cloud infrastructure, and driving innovation through analytics, we invite you to apply! Job Responsibilities: • Build out data pipelines (ETL, ELT) to populate database • Support engineering teams by consulting on data availability, iterating on data solutions to solve real-world problems, and developing/delivering custom data products • Identify new data requirements, work with cross-functional teams to collect required data from external systems, and work with software engineering team to build features in data management systems Required Qualifications: • Strong proficiency in Python, and SQL. • Familiar with AWS CLI. • Understanding of row-based and columnar database architecture. • Experience working with large-scale dataset, query optimization. • Strong critical thinking, debugging, and technical design skills. Preferred Qualifications: • Experience in data visualization, data analysis, and feature selection. • Understanding wireless KPI, metrics, and events. • Experience building ETL pipelines. Type: Contract Duration: 3+ months Schedule: On-site (Sunnyvale, CA) Pay range: $ 82.00 - $ 92.00 (DOE)