Data Engineer(Data Scientist With ML and Snowflake)

Title: Data Engineer (Look for candidates from Data Scientist and Developer background, should have experience in Machine Learning and Snowflake)

Job Description:

Should have experience on the following:-

Data Engineering & Snowflake

Design, develop, and maintain scalable data pipelines using Snowflake

Implement efficient ELT/ETL processes for structured and semi-structured data

Optimize Snowflake performance (clustering, partitioning, query tuning, cost optimization)

Manage data ingestion using tools like Snowpipe, Streams, and Tasks

Cloud & Architecture

Build and manage data solutions on Amazon Web Services / Azure / GCP

Design modern data architectures (Data Lake, Lakehouse, Data Warehouse)

Ensure scalability, reliability, and security of data platforms

Data Science & Machine Learning Enablement

Collaborate with data scientists to support model development and deployment

Build and maintain feature engineering pipelines for ML models

Enable data availability for training, validation, and inference workflows

Understand and apply key ML concepts (supervised/unsupervised learning, model evaluation, bias/variance)

Advanced Analytics & Modeling

Design and maintain data models for analytics and ML use cases

Work with large-scale datasets using SQL, Python, and distributed computing frameworks

Support real-time and batch data processing

Data Science & Machine Learning Enablement

Collaborate with data scientists to support model development and deployment

Build and maintain feature engineering pipelines for ML models

Enable data availability for training, validation, and inference workflows

Understand and apply key ML concepts (supervised/unsupervised learning, model evaluation, bias/variance)

Advanced Analytics & Modeling

Design and maintain data models for analytics and ML use cases

Work with large-scale datasets using SQL, Python, and distributed computing frameworks

Support real-time and batch data processing