Snowflake Data Science Engineer

Lonvec Technologies Private Limited; Bengaluru, Pune District, Hyderabad; On-site; INR 2,800,000 - 4,800,000; Full time

Job summary

Lonvec Technologies Private Limited in Bengaluru is seeking an experienced Snowflake Data Science Engineer to build data-driven solutions using Snowflake and modern AI/ML technologies.

You will collaborate with data engineers and analytics teams to design scalable pipelines, preprocess data, engineer features, and develop ML models on enterprise datasets within a hybrid work environment.

Qualifications

• Strong expertise in Python and SQL for ML workflows.
• Experience with data processing and integrating analytics with enterprise data platforms.
• Hands-on experience building ML models on enterprise data.

Responsibilities

• Develop and maintain data science solutions using Snowflake environments.
• Build data pipelines for analytics and machine learning workflows.
• Perform data preparation, transformation, and feature engineering.
• Develop and optimize ML models using enterprise datasets.
• Analyze large datasets and generate actionable insights.
• Collaborate with data engineers and analytics teams to deliver scalable solutions.

Skills

Python

SQL

Machine learning workflows

Data processing

Analytical thinking

Tools

Snowflake

Job description

Snowflake Data Science & AI Data Platform Full-time Hybrid

We are hiring an experienced Snowflake Data Science Engineer to develop data-driven solutions using Snowflake and modern AI/ML technologies. The ideal candidate should have strong expertise in Python, SQL, machine learning workflows, data processing, and integrating analytical solutions with enterprise data platforms.

• Develop and maintain data science solutions using Snowflake environments
• Build data pipelines for analytics and machine learning workflows
• Perform data preparation, transformation, and feature engineering
• Develop and optimize ML models using enterprise datasets
• Analyze large datasets and generate actionable insights
• Collaborate with data engineers and analytics teams to deliver scalable solutions

Requirements

• Data Warehousing