We are looking for an experienced Data Engineer with strong expertise in Snowflake, Python, SQL, and AI/ML workflows. The ideal candidate should have hands-on experience building scalable data pipelines and supporting machine learning and Generative AI initiatives.
Key Responsibilities
- Design and maintain scalable ETL/ELT pipelines using Snowflake and Python.
- Prepare and optimize structured and unstructured data for AI/ML applications.
- Work with Snowflake features such as Snowpark, Cortex AI, and Energetic Tables.
- Support ML model training, deployment, and MLOps workflows.
- Optimize Snowflake queries, performance, and data processing costs.
- Implement data quality, security, and governance practices.
Required Skills
- 5+ years of experience in Data Engineering.
- Strong hands-on experience with Snowflake, Python, and SQL.
- Knowledge of Snowpark, Cortex AI, and advanced Snowflake features.
- Experience with AI/ML workflows and feature engineering.
- Hands-on experience with Apache Airflow, dbt, or similar tools.
- Understanding of ETL/ELT pipelines and cloud platforms (AWS/Azure/GCP).
Preferred Qualifications
- SnowPro Advanced: Data Scientist or ML Ops certification preferred.
- Exposure to AWS SageMaker, Azure ML, or GCP Vertex AI.
- Knowledge of vector databases and LLM frameworks such as LangChain or LlamaIndex.
- Familiarity with Docker and Kubernetes.
Pay: ₹45,000.00 - ₹50,000.00 per month
Benefits:
- Work from home
Work Location: Remote
📌 Consultant – Data Engineer (Snowflake + AI/ML) (India)
🏢 Tuespot Solutions
📍 India
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