Data Engineer

Required skills and experience

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