Position Details
About this role
Data Engineer (Hybrid) within Cisco's Service Supply Chain Central Data Office, responsible for architecting and maintaining scalable data ecosystems, ETL pipelines, and data models to support AI and analytics initiatives.
Key Responsibilities
- Architect and optimize high-throughput ETL/ELT pipelines
- Design and manage data warehouses and data lakes
- Enforce data quality standards and security
- Collaborate with data scientists and business analysts
- Identify and automate manual data workflows
Technical Overview
Builds robust data pipelines and warehouses/lakes, enforces data quality and governance, and collaborates with data scientists and analysts. Tools include Oracle and Snowflake; emphasis on data modeling and security.
Ideal Candidate
The ideal candidate is a senior data engineer with 7+ years of data engineering experience, strong Oracle and Snowflake skills, and a track record of building scalable ETL pipelines and data models for enterprise analytics.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Bachelor's degree not stated, Less than 7 years of data engineering experience, No experience with Oracle or Snowflake
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile