Data Engineer (Snowflake + AI)

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