Data Engineer

Cisco
Bengaluru
Workplace: HybridFull timeFunction: Software EngineeringExperience: 4+ yearsSkills: ["Snowflake","Dbt","Python","GCP","Vertex AI","Cloud Run","API Gateway","Power BI","LangChain","Vector databases","Embedding pipelines"]

Data Engineer in Cisco’s CIA with Data and Analytics drives AI-augmented data pipelines and analytics infrastructure. You’ll design end-to-end AI-enabled data flows using Snowflake, Python, dbt, and GCP, collaborating with US analytics leads to deliver AI-driven insights and production-ready data surfaces for BI and executive-facing dashboards.

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FursaFursa
Cisco
Cisco
1 month ago

Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live
Reposted: similar role first listed 3 months ago

Job Summary

Data Engineer in Cisco’s CIA with Data and Analytics drives AI-augmented data pipelines and analytics infrastructure. You’ll design end-to-end AI-enabled data flows using Snowflake, Python, dbt, and GCP, collaborating with US analytics leads to deliver AI-driven insights and production-ready data surfaces for BI and executive-facing dashboards.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Design and build data pipelines in Snowflake and Python that serve as the structured data layer for LLM-based insight generation—including the Dynamic NPS Forecast AI Summary pipeline and similar AI-augmented workflows.
  • •Develop and maintain dbt models that produce clean, well-tested, AI-ready data surfaces—including feature engineering tables, aggregation layers, and prompt-context data structures for generative AI use cases.
  • •Write production-grade Python for data ingestion, API payload processing, LLM API integration, prompt construction, response parsing, and structured output storage.
  • •Integrate with GCP services (Cloud Run, API Gateway, Vertex AI) and Cisco AI tooling to build end-to-end AI data pipelines from raw customer signals to executive-ready insight delivery.
  • •Build and instrument data quality and observability frameworks that prevent AI pipeline failures from propagating incorrect or hallucinated insights to downstream business consumers.

Key Requirements

  • •4+ years of professional experience in data engineering, analytics engineering, or a closely related role, with demonstrated production ownership of Snowflake environments including schema design, query optimization, and data pipeline reliability.
  • •Intermediate to advanced Python proficiency for data engineering tasks: API integration, JSON payload processing, LLM API calls (OpenAI, Anthropic, or equivalent), structured output parsing, and pipeline automation using pandas, requests, and related libraries.
  • •Expert-level SQL with demonstrated ability to write complex aggregations, window functions, and multi-level hierarchical queries in a Snowflake environment—including performance profiling and optimization.
  • •Working proficiency in dbt: authoring of incremental models, Jinja macros, test frameworks, and snapshot strategies, with demonstrated understanding of how dbt model quality directly affects downstream analytical and AI pipeline reliability.
  • •Demonstrated experience building or contributing to at least one AI-augmented data pipeline: consuming LLM API responses as structured data, building feature tables for ML models, or constructing prompt-context data layers for generative AI workflows.
Experience:4+ yearsAIData engineeringAnalyticsSnowflakePythonGCP
Skills:SnowflakeDbtPythonGCPVertex AICloud RunAPI GatewayPower BILangChainVector databasesEmbedding pipelines
Tech Stack:SnowflakeDbtPythonGCPVertex AICloud RunAPI GatewayPower BILangChainVector databasesEmbedding pipelines

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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Glassdoor: 4.0
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