Data Engineer
Role details
Job location
Tech stack
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., 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
Requirements
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