Data Engineer

Cisco
Bengaluru
Workplace: HybridFull timeFunction: Software EngineeringExperience: 5+ yearsEducation: bachelorsSkills: ["Self-starter","Collaboration","Minimal supervision","Data quality focus","Technical governance"]

Build and maintain a scalable, unified, AI-ready data foundation for Cisco’s Commerce Intelligence Data & Analytics team. Design end-to-end ETL/ELT pipelines for structured and unstructured data, develop analytics-ready models with dbt, and deliver a reusable semantic layer powering AI/agentic solutions, dashboards, and applications. Ensure data quality, observability, lineage, governance, and access control across the modern Snowflake-based data stack.

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FursaFursa
Cisco
Cisco
2 days ago

Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live
Reposted: similar role first listed 3 months ago

Job Summary

Build and maintain a scalable, unified, AI-ready data foundation for Cisco’s Commerce Intelligence Data & Analytics team. Design end-to-end ETL/ELT pipelines for structured and unstructured data, develop analytics-ready models with dbt, and deliver a reusable semantic layer powering AI/agentic solutions, dashboards, and applications. Ensure data quality, observability, lineage, governance, and access control across the modern Snowflake-based data stack.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Conduct exploratory data analysis on structured and unstructured datasets to uncover trends and patterns.
  • •Design, build, and optimize scalable ELT/ETL pipelines to ingest, transform, and publish data into the Snowflake Data Cloud.
  • •Develop and maintain analytics-ready data models in dbt with modular, reusable design plus automated testing and maintainability.
  • •Design and implement a reusable semantic layer and data consumption layers including AI/agentic solutions, dashboards, reports, and conversational analytics.
  • •Champion data quality, observability, lineage, governance, and access control, and enforce technical governance with CI/CD and version control best practices.

Key Requirements

  • •Bachelor’s degree in Computer Science/Engineering/Information Systems (or equivalent practical experience).
  • •5+ years of progressive experience in data engineering with cloud data warehousing and modern data platform implementations.
  • •2+ years of hands-on experience developing AI and agentic solutions on platforms like Snowflake, AWS, or GCP.
  • •Deep expertise with the Snowflake Data Cloud, including its architecture, security model, and operational best practices.
  • •Strong dbt experience (models, automated testing, CI/CD) plus advanced SQL and practical Python for automation.
Experience:5+ yearsData engineeringCloud data warehousingModern data platformsAI and agentic solutionsBusiness intelligence
Education:Bachelor's in Computer Science, Engineering, Information Systems, or a related technical field
Skills:Self-starterCollaborationMinimal supervisionData quality focusTechnical governance
Tech Stack:Snowflake Data CloudSnowflake CortexDbtELTETLSnowflakePythonAWSGCPSigmaPower BITableauThoughtSpotCI/CDAgileScrumKanban

Company Brief

Cisco
Global technology company that designs, manufactures, and sells networking hardware, telecommunications equipment, and high-technology services and products for enterprises, service providers, and governments worldwide.
Industry: Networking Equipment
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1984
Glassdoor
Glassdoor: 4.0
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