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Snowflake Data Engineer- Consultant

KPMG Global Services
Bengaluru, IND
Full-time
Senior · 5+ years experience
Onsite
Discovered 3 weeks ago
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Responsibilities

  • As a Snowflake Data Engineer, you will design, build, and operate enterprise-grade data platforms on Snowflake. You will develop secure, governed, and cost-efficient data pipelines and models; enable analytics and AI/ML use cases using Snowflake core services and Snowflake Cortex AI; and partner with business stakeholders to deliver reliable, high-performance data capabilities. The role spans ingestion, transformation, data architecture, performance tuning, security, and observability—anchored in Python, SQL, and agentic development patterns.

Qualifications

  • Education: Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Information Systems, or related technical discipline
  • Experience: 5+ years in data engineering with modern data warehousing; 3+ years hands-on with Snowflake (enterprise implementations)
  • Technical proficiency:
  • Strong Python and SQL (query optimization, UDFs, stored procedures)
  • Background in agentic development (designing LLM/agent workflows, orchestration, prompt engineering, tool/function calling, evaluation)
  • Data architecture/platform enablement with Snowflake (account/org setup, multi-DB design, RBAC, data sharing, governance)
  • Data warehouse architectures, dimensional/data vault modeling, ETL/ELT patterns, and CI/CD for data
  • Building metrics layers and KPI dashboards with underlying semantic/data models

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