Data Engineer

Pls look for experience with ETL Framework – Keystone Job Description: We are looking for a skilled Data Engineer with strong expertise in Snowflake and AI/ML technologies. The ideal candidate will be responsible for building scalable data pipelines, enabling advanced analytics, and supporting AI-driven solutions. Key Responsibilities: • Design, develop, and maintain scalable data pipelines using Snowflake • Implement data ingestion, transformation, and integration processes • Work with structured and unstructured data for AI/ML use cases • Collaborate with data scientists to deploy and optimize AI/ML models • Optimize Snowflake performance, cost, and data architecture • Ensure data quality, governance, and security standards • Support real-time and batch data processing frameworks Required Skills: • Strong experience with Snowflake (data modeling, performance tuning, security) • Proficiency in SQL and Python • Experience with ETL/ELT tools (e.g., Airflow, Informatica, dbt) • Hands-on experience with cloud platforms (AWS/Azure/GCP) • Understanding of AI/ML concepts and model deployment • Experience with big data technologies (Spark, Kafka is a plus) Preferred Skills: • Experience with MLOps and model lifecycle management • Knowledge of data lake and lakehouse architectures • Familiarity with GenAI/LLM integration is an added advantage Soft Skills: • Strong problem-solving and analytical skills • Good communication and stakeholder management • Ability to work in a fast-paced, collaborative environment