Data Engineer

Join Cisco's Commerce Intelligence Data & Analytics team to build a scalable, unified, and AI-ready data foundation that drives high-impact business decisions and automated actions at scale. Shape our data landscape by exploring diverse source systems, designing robust data ecosystems, and enabling advanced analytics, AI, and agentic solutions.

• Conduct in-depth exploratory data analysis to uncover trends and patterns in structured and unstructured datasets.
• Translate complex business requirements into robust data solutions, integrating insights from diverse non-ERP sources with our Enterprise Data Warehouse (EDW).
• Design, build, and optimize scalable ELT/ETL pipelines to ingest, transform, and publish data into the Snowflake Data Cloud.
• Develop and maintain high-quality, analytics-ready data models using dbt, emphasizing modular design and reusability.
• Design and implement a reusable semantic layer that adheres to architectural standards and supports AI, agentic solutions, and dashboards.
• Leverage Snowflake Cortex to integrate AI/LLM capabilities directly into data pipelines.
• Champion and enforce data quality, observability, lineage, governance, and access control standards across our AI-ready data architecture.

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience.
• 5+ years of progressive experience in data engineering, with a proven track record in cloud data warehousing and modern data platform implementations.
• 2+ years of hands-on experience developing AI and agentic solutions, specifically on platforms like Snowflake, AWS, or GCP.
• Deep expertise with the Snowflake Data Cloud, encompassing its architecture, security model, and operational best practices.
• Strong proficiency with dbt (Data Build Tool) for designing, developing, and maintaining data models.
• Advanced SQL skills and practical working knowledge of Python for data manipulation and automation.
• 5+ years of experience with leading BI/reporting tools such as Sigma or Power BI.