Looking for a candidate from Data Scientist and Developer background, should have experience in Machine Learning and Snowflake. Job Description Design, develop, and maintain scalable data pipelines using Snowflake Implement efficient ELT/ETL processes for structured and semi-structured data Optimize Snowflake performance (clustering, partitioning, query tuning, cost optimization) Manage data ingestion using tools like Snowpipe, Streams, and Tasks Build and manage data solutions on Amazon Web Services / Azure / GCP Design modern data architectures (Data Lake, Lakehouse, Data Warehouse) Ensure scalability, reliability, and security of data platforms Data Science & Machine Learning Enablement Collaborate with data scientists to support model development and deployment Build and maintain feature engineering pipelines for ML models Enable data availability for training, validation, and inference workflows Understand and apply key ML concepts (supervised/unsupervised learning, model evaluation, bias/variance) Advanced Analytics & Modeling Design and maintain data models for analytics and ML use cases Work with large-scale datasets using SQL, Python, and distributed computing frameworks Support real‑time and batch data processing #J-18808-Ljbffr