Lead Python Data Engineer

USC and GC prefer need LInkedin and VISA, DL copy • Strongly prefer candidates coming from beverage industry (Coca Cola, Pepsico, Monster, Redbull, Nestle, etc.) Key skills: Python Data Engineering expertise, Lead/ Principal level, SnowSQL/Snowflake, MLOps We are seeking a Senior Data Engineer with 10+ years of experience to support a growing Data & Analytics team. This role will focus on building scalable, modern data solutions that enable advanced analytics and AI/ML use cases. Must Haves • 10+ years of experience in data engineering, with strong expertise in data warehousing and modern data platforms (Snowflake preferred). • 3+ years proven success in leading cross-functional initiatives and mentoring engineering teams • Proficiency with snowSQL, Python, and dbt for building and maintaining data pipelines. • Experience designing AI/ML-ready data ecosystems and supporting advanced analytics. • Strong understanding of cloud environments (AWS, Azure, or GCP). Nice-to-Have • Experience with MLOps tools and practices • Familiarity with data governance and security best practices. • Background in healthcare, CPG, or regulated industries. Key Responsibilities • Design, build, and optimize data pipelines and workflows across modern data platforms. • Leverage Snowflake, cloud-native solutions, and dbt to deliver scalable data transformations. • Develop and maintain high-quality, production-ready datasets to support AI/ML initiatives Collaborate with cross-functional stakeholders, including Data Scientists and Engineers, to deliver integrated data solutions