As a Senior Data Engineer, you’ll design and optimize data pipelines, warehouses, and cloud-based solutions to help the product team make faster, smarter financial decisions. Key Responsibilities:
✔ Develop and maintain ETL/ELT pipelines for data ingestion, transformation, and loading into Snowflake.
✔ Write Python scripts to automate workflows and enhance data efficiency.
✔ Optimize Snowflake performance to ensure speed, scalability, and cost-effectiveness.
✔ Integrate data with cloud platforms (preferably GCP) and cloud storage solutions.
✔ Design and implement data models for warehousing and analytics.
✔ Ensure data quality, security, and compliance across all systems.
✔ Collaborate with analysts, scientists, and business leaders to drive impactful insights. 

What You Need to Succeed: 
✅ 5+ years of experience in data engineering.
✅ Strong expertise in Python and SQL (5+ years).
✅ 2+ years of hands-on experience with Snowflake (total 5+ years of database experience).
✅ Familiarity with ETL/ELT tools (Airflow preferred).
✅ Experience working with cloud platforms (GCP, AWS, or Azure).
✅ Deep understanding of data warehousing, performance tuning, and best practices.
✅ Strong problem-solving skills and the ability to communicate technical concepts clearly. 

Why You’ll Love This Role: 
💰 Competitive salary & benefits package.
📈 Growth opportunities in a the US- leading financial institution.
🌎 Remote-friendly, flexible work environment.

🚀 Why StellarsTech? 
🇺🇦 Born from Ukrainian Strength – We know what it means to rise, adapt, and create something enduring. We channel that mindset into everything we do.
🏆 Trusted Partnerships – We partner only with the most trusted financial brands, with a legacy of excellence in the Western market.
🚀 A Team of Visionaries – You won’t just join a company—you’ll collaborate with impact-makers who are reshaping industries. 

Our motto is not to offer just another job, but to create an opportunity where you can build your lasting legacy. 

Company website:https://stellars.tech/