Principal Software Engineer (Data Engineering)

📋 Description

• Design and implement scalable, reliable, and secure data pipelines.
• Develop ETL/ELT solutions for processing large-scale structured and unstructured datasets.
• Build data ingestion frameworks supporting batch and near real-time processing.
• Design and optimize data models for analytics, reporting, and machine learning workloads.
• Ensure high data quality, governance, observability, and reliability across data platforms.
• Architect and maintain cloud-native data solutions on AWS, Azure, or GCP.

🎯 Requirements

• 10+ years of experience in Data Engineering
• Strong expertise in Python programming
• Advanced SQL development and performance tuning skills
• Experience with Snowflake or equivalent cloud data warehouse technologies
• Strong understanding of data modeling, ETL/ELT frameworks, and data governance
• Experience with cloud platforms: Microsoft Azure (Preferred), AWS, or Google Cloud Platform

🎁 Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program