Description
Join Cisco's Commerce Intelligence Data & Analytics team as a Data Engineer. You will shape the data landscape, driving the design, build, and maintenance of a robust data ecosystem that enables advanced analytical capabilities, AI, and agentic solutions.
Responsibilities:
- 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 the 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.
- Design and implement a reusable semantic layer that adheres to architectural standards.
- Leverage Snowflake Cortex to integrate AI/LLM capabilities directly into data pipelines.
- Champion and enforce data quality, observability, lineage, governance, and access control standards.
- Collaborate strategically with data architects, analysts, and business stakeholders to define long-term data strategies.
Minimum Qualifications:
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field.
- 5+ years of progressive experience in data engineering.
- 2+ years of hands-on experience developing AI and agentic solutions.
- Deep expertise with the Snowflake Data Cloud.
- Strong proficiency with dbt and advanced SQL skills.
Preferred Qualifications:
- Experience with data quality, observability, and lineage tools.
- Familiarity with advanced Snowflake capabilities.
- Solid understanding of data and solution architecture principles.