Data Engineer

Cisco
Bengaluru
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceExperience: 8+ yearsEducation: bachelorsSkills: ["Mentorship","Best-practice leadership","Self-starter","Collaboration","Technical guidance"]

Build and lead end-to-end data engineering solutions for commerce intelligence, including scalable ETL/ELT pipelines and an AI-ready unified data foundation. Architect robust data models and a reusable semantic layer to power dashboards, conversational analytics, and agentic experiences. Work with Snowflake Data Cloud and dbt for modular, testable, CI/CD-enabled transformations, while integrating Snowflake Cortex and other AI/LLM capabilities. Mentor junior engineers and champion data quality, observability, governance, and access controls.

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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: 2 hours agoStatus: Live
Reposted: similar role first listed 3 months ago

Job Summary

Build and lead end-to-end data engineering solutions for commerce intelligence, including scalable ETL/ELT pipelines and an AI-ready unified data foundation. Architect robust data models and a reusable semantic layer to power dashboards, conversational analytics, and agentic experiences. Work with Snowflake Data Cloud and dbt for modular, testable, CI/CD-enabled transformations, while integrating Snowflake Cortex and other AI/LLM capabilities. Mentor junior engineers and champion data quality, observability, governance, and access controls.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Lead exploratory data analysis to identify trends and patterns across structured and unstructured datasets for architectural decisions.
  • •Translate complex business requirements into scalable, resilient data solutions integrating non-ERP sources with the Enterprise Data Warehouse (EDW).
  • •Architect and optimize highly scalable ELT/ETL pipelines to ingest, transform, and publish data into the Snowflake Data Cloud with performance and reliability.
  • •Define analytics-ready data models using dbt, emphasizing modular design, reusability, testing, and CI/CD integration.
  • •Design and implement a reusable semantic layer and integrate Snowflake Cortex/AI-LLM capabilities to power dashboards, conversational analytics, and agentic solutions.

Key Requirements

  • •8+ years of progressive data engineering experience architecting and leading cloud data warehousing and modern data platform implementations.
  • •4+ years of experience leading or architecting AI and agentic solutions using platforms like Snowflake, AWS, or GCP.
  • •Expert-level proficiency with Snowflake Data Cloud, including advanced features, security model, and operational best practices.
  • •Expert-level dbt skills for designing, developing, and maintaining complex data models with automated testing and CI/CD integration.
  • •Mastery in SQL and Python for scalable data processing, automation, and API integration.
Experience:8+ yearsData engineeringData warehousingData platforms
Education:Bachelor's
Skills:MentorshipBest-practice leadershipSelf-starterCollaborationTechnical guidance
Certifications:Snowflake Gen AI certification
Tech Stack:SnowflakeSnowflake Data CloudSnowflake CortexDbtSQLPythonETLELTCI/CDAWS GlueAWS LambdaAWS Step FunctionsGCP DataflowCloud ComposerAgileScrumKanbanPower BISigmaSnowpark

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
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