Meet the Team
Cisco's Centralized Analytics Team builds and operates the data platform and analytics foundations that Cisco's pricing, reporting, and AI initiatives run on. The team owns the path from enterprise data warehouse through to governed, self-service analytics — delivering trustworthy data products, semantic models, and serving layers to partner organizations including the Pricing Team. You will work at the intersection of data engineering, platform engineering, and data governance, enabling analytics and AI teams to build on data they can trace and trust.

Your Impact
-Design, build, and operate batch and streaming data pipelines on Snowflake and/or Databricks
-Turn reference architectures and data contracts from the Principal AI Data Architect into robust, production-grade implementations
-Deliver reliable, observable, cloud-native ETL/ELT for both structured and unstructured data
-Modernize legacy jobs with measurable gains in latency, reliability, and cost
Implement the semantic models, dimensional schemas,



and entity-centric structures that make data trustworthy and reusable
-Maintain the metadata, catalog, and lineage that let any downstream consumer trace an output back to its source
-Build the low-latency APIs, materialized views, and serving layers that power dashboards, reporting, and ML/AI applications
-Embed data quality checks, RBAC/ABAC, masking, and encryption directly into your pipelines
-Instrument workflows with logs and metrics so failures are caught before consumers see them
-Automate testing, deployment, and rollback through CI/CD — a pipeline isn't "done" until it's tested, observable, and in an automated deployment workflow

Minimum Qualifications:
-Bachelor's degree in Computer Science or a related field
5–8 years of hands-on data engineering or software engineering experience building production data platforms
-Cloud Data Platforms – Proven experience building and operating cloud-native pipelines on Databricks (PySpark, Delta Lake)

📌 Data Engineer (Bengaluru)
🏢 Cisco
📍 Bengaluru