Consultant - Snowflake Data Engineer
KPMG (company site, opens in a new tab)5+ yrsBengaluru, Pune, GurugramOn-siteDirect career pageEst. 12–20 LPA
Posted 17h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and operate enterprise-grade Snowflake data platforms including ingestion, transformation, and performance tuning.
- Develop secure, governed, cost-efficient data pipelines and data models enabling analytics and AI/ML use cases leveraging Snowflake core services and Cortex AI.
- Collaborate with business stakeholders to deliver metrics decks, KPI dashboards, and reliable, high-performance data capabilities with strong governance and observability.
Minimum Requirements
- Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Information Systems, or related technical discipline.
- Minimum 5 years experience in data engineering roles with modern data warehousing; at least 3 years hands-on Snowflake enterprise implementation experience.
- Proficient in Python, SQL (including UDFs and stored procedures), and at least one programming language: Java, Ruby, Scala.
- Experience with AWS services (Redshift, S3, EC2, Lambda, Athena, EMR, Glue, DataPipeline) and familiarity with data visualization tools (Tableau, QuickSight, Metabase, Power BI).
Ideal Candidate Profile
- Experienced Snowflake data engineer skilled in architecting multi-account/org setups, RBAC, data sharing, and governance for secure enterprise data platforms.
- Strong technical expertise in building ELT pipelines using Snowflake-native features, performance optimization, and implementing CI/CD for data workflows.
- Background in agentic development involving LLM/agent orchestration, prompt engineering, and integrating AI/ML use cases within governed Snowflake environments.