Data Engineer
On-site · Bengaluru, Karnataka, India or Hyderabad, Telangana, India
Job Summary
Data Engineer on Cisco’s Growth Metrics Data Domain, responsible for design and development of enterprise-scale data engineering and AI solutions to ensure accurate, timely, and high-quality data processing for Cisco’s Unified Revenue Metrics. You will work at the intersection of data architecture, pipeline engineering, and AI-augmented analytics—building systems that are clean, testable, and scalable. Key activities include designing, building, and maintaining scalable data pipelines to ingest, process, and store large volumes of data from diverse sources; creating robust data models and architectures to support analytics, reporting, and machine learning; writing production-grade SQL and Python scripts for data transformation and pipeline automation; instrumenting pipelines with quality frameworks (dbt tests, row counts, null checks, referential integrity); contributing to AI integration efforts by building data tables and pipelines that support LLM-generated insights; evaluating and adopting AI-native data tooling (Snowflake Cortex, dbt Copilot) in line with leadership directions; and leveraging Snowflake and DBT expertise for data transformation and orchestration. We seek a candidate with strong ownership, technical judgment, and a forward-looking mindset toward AI tooling.
Required Qualifications
- 4+ years of professional experience in data engineering or analytics engineering
- production-grade Snowflake environments including query optimization, RBAC configuration, and schema design
- Expert-level SQL, including window functions, recursive CTEs, complex multi-level aggregations, and query performance profiling
- Intermediate Python proficiency for data pipeline scripting, ETL/ELT automation, and lightweight data wrangling
- Experience designing data architecture that supports analytical reporting at enterprise scale
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