Job Description

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)

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