Data Engineer

Cisco
Bengaluru
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceSkills: ["Ownership","Problem-solving","Communication"]

Design, develop and maintain AI-native data pipelines for Cisco's customer assets, combining data architecture, pipeline engineering, and AI-augmented analytics to enable scalable, testable data foundations and enterprise reporting. You will own end-to-end dbt modeling, optimize pipelines, implement quality checks, and contribute to AI integration workstreams within a lean, high-ownership team.

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FursaFursa
Cisco
Cisco
1 month ago

Data Engineer

âś“ Verified Job

Canonical indexed version, validated from employer's careers page.

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

Job Summary

Design, develop and maintain AI-native data pipelines for Cisco's customer assets, combining data architecture, pipeline engineering, and AI-augmented analytics to enable scalable, testable data foundations and enterprise reporting. You will own end-to-end dbt modeling, optimize pipelines, implement quality checks, and contribute to AI integration workstreams within a lean, high-ownership team.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence

Key Responsibilities

  • •Own the end-to-end design and implementation of dbt models, including the simplified 6-object architecture, parametric control layer, and plug-and-play organizational hierarchy configurations.
  • •Optimize existing data pipelines to improve performances while maintaining SLA and credit utilization.
  • •Write production-grade SQL and Python scripts for data transformation, pipeline automation, and integration with upstream and downstream systems.
  • •Instrument data pipelines with robust quality frameworks—including dbt tests, row count validation, null assertions, and referential integrity checks—for executive reporting.
  • •Contribute to AI integration workstreams, building data tables and pipeline structures that support LLM-generated insight.

Key Requirements

  • •2-3+ years of data engineering or analytics engineering experience with production-grade Snowflake environments, including query optimization, RBAC configuration, and schema design.
  • •Proficiency in dbt, including incremental models, macros, Jinja templating, snapshot strategy for SCDs, and dbt test frameworks.
  • •Expert-level SQL with window functions, recursive CTEs, complex multi-level aggregations, and query performance profiling in a cloud data warehouse.
  • •Intermediate Python for data pipeline scripting, ETL/ELT automation, and lightweight data wrangling using pandas, fastAPI, or equivalent libraries.
  • •Experience designing data architecture that supports analytical reporting at enterprise scale, including dimensional modeling, object rationalization, and parametric configuration layer design.
Experience:Data engineeringAnalyticsAI nativeData platform
Skills:OwnershipProblem-solvingCommunication
Tech Stack:SnowflakeDbtSQLPythonPandasFastAPIRBACJinja

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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