Description

You will build enterprise-scale data applications in Snowflake and integrate machine learning models into production pipelines.

This role is on-site.

Responsibilities

• Build, test, and implement enterprise-scale applications within the Snowflake ecosystem.
• Design Snowflake models including roles, databases, and schemas while managing warehousing, architecture, and administration.
• Maintain data pipelines using ETL tools and implement identity and access management features.
• Develop authorization frameworks, encryption security competencies, and query optimization techniques.
• Solve system performance and scalability issues using distributed data processing algorithms and transaction management.

Required Skills

• 6+ years of experience in data engineering and Snowflake development.
• Hands-on experience with Machine Learning, specifically Large Language Models (LLMs) and Generative AI.
• Practical knowledge of fine-tuning approaches and model training.
• Proficiency in Python, C, or C++.
• Experience with Java or Scala.
• Working knowledge of Hadoop, Spark, and Kafka.
• Proficiency in SQL and PostgreSQL.
• Experience with NoSQL databases such as MongoDB or Cassandra.
• Demonstrated leadership in applied research and development.

Key Skills

Education

Any Gradute