Data Engineer
Cisco (company site, opens in a new tab)5+ yrsBengaluruHybridDirect career pageEst. 22–38 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and optimize scalable ELT/ETL pipelines using Snowflake Data Cloud, ensuring robust data transformation and integration for operational and advanced analytics needs.
- Develop and maintain modular, high-quality analytics-ready data models with dbt, including implementation of a reusable semantic layer to support AI, agentic solutions, and dashboards.
- Enforce data quality, observability, governance, and technical best practices, collaborating across teams and time zones to deliver scalable, secure, and automated data solutions.
Minimum Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related technical field, or equivalent practical experience.
- Minimum 5 years of progressive data engineering experience with cloud data warehousing and modern data platform implementations.
- At least 2 years hands-on experience with AI and agentic solution development on platforms such as Snowflake, AWS, or GCP.
- Strong expertise with Snowflake Data Cloud, dbt for data modeling and CI/CD, advanced SQL skills, Python for automation, and experience with BI/reporting tools like Sigma or Power BI.
Ideal Candidate Profile
- Experienced in building end-to-end data pipelines and semantic data layers supporting AI and agentic analytics in a cloud environment using Snowflake and dbt.
- Capable of collaborating across multiple time zones and business functions to translate complex operational needs into scalable data solutions.
- Proven track record applying Agile methodologies and technical governance in a data engineering context focused on high data quality and automation.