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Tier-1 brand, mid-level generalist data role with broad skills and Snowflake requirement.
Data engineering skills transfer across industries but Snowflake and enterprise migration experience raise domain specificity.
Mandatory 5+ years and required Snowflake, Python, SQL and migration expertise.
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Develop and deploy production-ready AI-powered data acquisition and transformation pipelines to enhance core enterprise systems for improved reliability, security, scalability, and cost-efficiency.
Lead architecture design and modernization of data ingestion and processing workflows that directly support business operations and downstream analytics.
Apply best practices in data modeling, performance tuning, security, governance, and integrate Snowflake with BI tools to solve high-impact enterprise challenges.
5+ years of experience in complex software systems development.
Proficiency in Python and SQL is mandatory.
Expertise in Snowflake architecture including large-scale migration projects.
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or equivalent quantitative discipline.
Experienced in building and maintaining enterprise-scale data platforms with strong operational ownership.
Skilled in performance optimization, security, and cost-tuning at a platform level within complex data environments.
Familiar with integrating cloud data warehouses (Snowflake) with business intelligence tools to deliver scalable AI/ML data solutions.