Key Responsibilities

- Design, build, and maintain scalable ETL/ELT pipelines using Snowflake and cloud-native technologies.

- Develop and optimize Snowflake data warehouse structures, including schemas, tables, views, tasks, streams, stored procedures, and semantic views.

- Build AI-assisted analytics and data products using Snowflake Cortex capabilities, including LLM functions, Cortex Analyst, Cortex Search, and semantic models.

- Design and operationalize semantic layers / semantic views that enable governed natural-language querying and business-friendly analytics.

- Support development of CoCo / CoWork-style agentic workflows, where AI agents assist users with data discovery, analysis, insight generation, and workflow automation.

- Integrate structured and unstructured data into Snowflake to support RAG, enterprise search, knowledge retrieval, and AI-driven analytics use cases.

- Collaborate with architects and business stakeholders to convert business questions into Cortex-powered analytical experiences.

- Integrate data from multiple structured and unstructured sources into Snowflake.

- Implement data transformation logic using SQL, Python, dbt, or other ETL tools.

- Monitor and optimize query performance, storage usage, and compute costs within Snowflake.

- Collaborate with business analysts, data scientists, and stakeholders to understand data requirements and deliver high-quality datasets, semantic layers, and AI-ready data assets.

- Ensure that data quality, governance, security, and compliance standards are maintained.

- Automate deployment and data workflows using CI/CD and orchestration tools.





- Troubleshoot and resolve data pipeline, semantic model, and AI solution performance issues.

- Document data models, semantic views, workflows, and technical specifications.

Required Skills

- Hands-on experience with Snowflake Cloud Data Platform.

- Strong proficiency in SQL and performance tuning.

- Hands-on experience with Snowflake Cortex AI, including Cortex LLM functions, Cortex Analyst, Cortex Search, and AI/ML capabilities within Snowflake.

- Experience designing semantic models, semantic views, or governed data layers for natural-language analytics.

- Practical understanding of CoCo / CoWork-style agentic AI workflows, including agent orchestration, tool usage, retrieval patterns, and human-in-the-loop business processes.

- Experience building RAG-based solutions using Snowflake or similar cloud data platforms.

- Ability to translate business use cases into AI-enabled analytics solutions using Snowflake-native capabilities.

- Experience building ETL/ELT pipelines using tools such as:

o dbt o Informatica o Matillion o Talend o Airflow o Azure Data Factory (ADF)

- Experience with cloud platforms such as AWS, Azure, or GCP.

- Strong understanding of data warehousing concepts, dimensional modeling, data architecture, and AI-ready semantic modeling.

- Experience scripting/programming in Python.

- Strong analytical and problem-solving skills.

Ownership & Problem-Solving Expectations

- Excellent communication and stakeholder management skills

- Strong collaboration and teamwork mindset

- Ability to work independently in a fast-paced setting

- Strong attention to detail and data accuracy

📌 Senior Data Engineer (Snowflake + Cortex) (Bengaluru)
🏢 ZS
📍 Bengaluru