6 days ago
Bengaluru, IndiaSenior
Responsibilities
- Conduct exploratory analysis of structured and unstructured datasets to identify trends and patterns.
- Translate business requirements into data solutions integrating non-ERP sources with the enterprise data warehouse.
- Design, build, optimize, and maintain scalable ETL/ELT pipelines in Snowflake.
- Develop reusable, tested, and maintainable dbt data models.
- Design and implement semantic and data consumption layers for AI, agentic solutions, dashboards, reports, and conversational analytics.
- Use Snowflake Cortex to integrate AI and LLM capabilities into data pipelines.
- Enforce data quality, observability, lineage, governance, compliance, and access-control standards.
- Collaborate with architects, analysts, and business stakeholders on long-term data strategies and scalable solutions.
- Establish technical governance, CI/CD practices, and version-control standards.
- Apply Agile, Scrum, or Kanban practices in a data engineering environment.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience.
- At least 5 years of progressive data engineering experience, including cloud data warehousing and modern data platform implementations.
- At least 2 years of hands-on experience developing AI and agentic solutions on platforms such as Snowflake, AWS, or GCP.
- Deep expertise with Snowflake architecture, security, and operational practices.
- Strong proficiency with dbt for data modeling, automated testing, and CI/CD integration.
- Advanced SQL skills and practical Python experience for data manipulation and automation.
- At least 5 years of experience with leading BI and reporting tools such as Sigma or Power BI.
- Experience with data quality, observability, and lineage tools is preferred.
- Preferred qualifications include Snowflake capabilities such as zero-copy cloning, secure data sharing, external tables, Snowpark, dynamic tables, and MCP gateways.
- Preferred qualifications include data and solution architecture knowledge and exposure to Tableau or ThoughtSpot.
Tech Stack
Categories
Data Engineering
About Cisco
Cisco designs and sells networking, security, and collaboration platforms for enterprises, service providers, and governments, spanning routers and switches, Wi‑Fi, firewalls, zero‑trust, observability, and cloud-managed IT (Meraki) plus Webex. Its business model mixes hardware, software subscriptions, and support/consulting services. Founded in 1984 and headquartered in San Jose, California, Cisco is a public company traded on Nasdaq and serves customers across data centers, campuses, and service provider networks.