Consultant – Data Engineer (Snowflake + AI/ML)

TueSpot Solutions; EUA; Teletrabalho; USD 5300 - 5900; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Work from home

Resumo da oferta

TueSpot Solutions seeks an experienced Consultant – Data Engineer (Snowflake + AI/ML) for a remote role. You will design and maintain scalable ETL/ELT pipelines using Snowflake and Python, and support AI/ML workflows and MLOps.

The ideal candidate has 5+ years in data engineering, hands-on Snowflake (Snowpark, Cortex AI) and SQL, plus cloud familiarity (AWS/Azure/GCP). You will optimize queries, ensure data quality and governance, and contribute to AI initiatives within a distributed team.

Qualificações

• 5+ years of data engineering experience.
• Hands-on with Snowflake, Python and SQL.
• Experience with AI/ML workflows and ETL/ELT pipelines.
• Familiarity with cloud platforms (AWS/Azure/GCP).

Responsabilidades

• Design and maintain scalable ETL/ELT pipelines using Snowflake and Python.
• Prepare and optimize data for AI/ML applications.
• Leverage Snowflake features like Snowpark and Cortex AI.
• Support ML model training, deployment, and MLOps workflows.
• Optimize Snowflake queries and data processing costs.
• Implement data quality, security, and governance practices.

Conhecimentos

Data engineering

AI/ML workflows

ETL/ELT pipelines

Cloud platforms (AWS/Azure/GCP)

Ferramentas

Snowflake

Python

SQL

Snowpark

Cortex AI

Airflow

dbt

Docker

Kubernetes

Descrição da oferta de emprego

Consultant – Data Engineer (Snowflake + AI/ML)

Experience: 5+ Years Location: Remote

Job Description

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 Dynamic 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