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Job Description
Structured overview of role & requirementsAbout This Role
Own and develop Snowflake data engineering solutions including architecture, schema design, query optimization, and performance tuning.
Support enterprise analytics and AI initiatives by building and maintaining scalable data products and curated business views.
Implement and manage data quality frameworks including validation, monitoring, reconciliation, and root cause analysis.
Minimum Requirements
5+ years of data engineering experience.
3+ years of hands-on Snowflake development experience including dynamic tables, materialized views, and warehouse optimization.
Expert-level SQL skills capable of handling datasets with hundreds of millions of records.
Notice period up to 15 days is acceptable.
Ideal Candidate Profile
Experienced working on large-scale enterprise data platforms supporting AI-powered analytical applications.
Strong background in dimensional data modeling, semantic layers, KPI standardization, and metadata management.
Technical proficiency in performance tuning and data observability to ensure reliable data products and insights.