Overview
Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our \~16,800 employees create world\-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.
Our award\-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry\-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.
We are seeking a skilled **Data Engineer** with **4\+ years of experience** designing, developing, and maintaining modern cloud\-based data platforms. The ideal candidate will have hands\-on expertise in **Snowflake**, **Fivetran**, and **Matillion**, with a strong background in building scalable data pipelines, optimizing data workflows, and supporting enterprise analytics initiatives.
In addition, the candidate should have practical experience leveraging **Snowflake Intelligence** and **Snowflake Cortex AI** capabilities to enable AI\-powered analytics, data enrichment, automation, and business insights.
This role will partner closely with Data Architects, Analytics Engineers, Data Scientists, and Business stakeholders to deliver trusted, high\-quality data solutions that support reporting, advanced analytics, and AI\-driven decision\-making.
Responsibilities
### **Data Engineering \& Pipeline Development**
- Design, develop, and maintain scalable and reliable ELT/ETL pipelines using **Fivetran**, **Matillion**, and **Snowflake**.
- Build and optimize data ingestion frameworks for structured, semi\-structured, and unstructured data sources.
- Develop and maintain Snowflake data models, schemas, views, and transformation logic.
- Implement data quality checks, validation frameworks, and monitoring processes.
- Optimize data pipelines for performance, scalability, and cost efficiency.
- Support batch and near real\-time data integration requirements.
### **Snowflake Platform Engineering**
- Design and implement data solutions leveraging Snowflake's cloud\-native architecture.
- Manage Snowflake objects including databases, schemas, warehouses, tasks, streams, and secure data sharing.
- Implement performance tuning strategies, query optimization, and warehouse sizing recommendations.
- Ensure adherence to data governance, security, and compliance requirements.
### **AI \& Advanced Analytics Enablement**
- Utilize **Snowflake Cortex AI** capabilities for intelligent data processing, summarization, classification, sentiment analysis, and generative AI use cases.
- Implement AI\-powered workflows using Snowflake\-native AI services.
- Leverage **Snowflake Intelligence** to enable business users with natural language insights and data exploration capabilities.
- Collaborate with Data Scientists and Analytics teams to operationalize AI/ML and GenAI solutions on Snowflake.
### **Collaboration \& Best Practices**
- Work closely with business and technical teams to understand data requirements and translate them into scalable solutions.
- Participate in architecture reviews, code reviews, and data platform enhancement initiatives.
- Develop technical documentation, data lineage documentation, and operational runbooks.
- Support production deployments and troubleshoot data pipeline issues.
Qualifications
### **Education**
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field.
### **Experience**
- 4\+ years of experience in Data Engineering, Data Integration, or Data Warehousing.
- Proven experience building enterprise\-scale data pipelines and data platforms.
### **Technical Skills**
- Strong hands\-on experience with **Snowflake Data Cloud**.
- Experience building and maintaining pipelines using **Fivetran**.
- Strong development experience with **Matillion ETL/ELT**.
- Advanced SQL skills and performance optimization techniques.
- Experience working with cloud platforms such as AWS, Azure, or GCP.
- Knowledge of data modeling principles including dimensional and normalized models.
- Experience with version control systems such as Git.
### **Snowflake AI Skills**
- Experience using **Snowflake Cortex AI** services and functions.
- Understanding of AI/GenAI concepts and Snowflake\-native AI capabilities.
- Experience leveraging **Snowflake Intelligence** for conversational analytics and business insights.
- Familiarity with prompt engineering and AI\-assisted data workflows.
Careers Privacy Statement\*\*\*Keysight is an Equal Opportunity Employer.\*\*\*