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/Google Cloud Platform)
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
Never miss an opportunity! Create an alert based on the job you applied for.
