Snowflake Data Engineer

Tasks

• Lead end-to-end design and implementation of complex data engineering solutions.
• Design, develop, and optimize data pipelines using Snowflake, Apache Airflow, DBT, and Matillion.
• Build and maintain cloud-native data solutions using Azure and AWS services.
• Optimize data workflows for performance, scalability, reliability, and cost efficiency.
• Develop and maintain ETL/ELT pipelines and automated data integration processes.
• Collaborate with Data Architects, Data Scientists, ML Engineers, and business stakeholders.
• Drive technical decisions, establish best practices, and mentor team members.

Requirements

• 15+ Years
• Snowflake – Strong hands-on experience
• Azure Cloud / AWS / GCP
• Apache Airflow
• DBT (Data Build Tool)
• Matillion
• ETL/ELT Pipeline Development
• Data Modeling & Query Optimization
• Cloud Data Engineering
• Data Pipeline Orchestration
• Preferred: Power BI / Data Visualization
• Preferred: Data Science & AI/ML Concepts
• Preferred: Machine Learning Workflows
• Preferred: Docker / AWS Fargate
• Preferred: AI-enabled Data Solutions

Schedule

• Long-Term Contract
• Day 1 Onsite

How to apply

• Share your updated resume by email.

Location

• Indianapolis, IN