Senior/Middle Data Engineer (Azure / Snowflake / SQL)

About the Project

We are working on a large international U.S.-based project and are looking for a Data Engineer to strengthen our team. You will be responsible for managing backend processes, ensuring that applications such as Zoom, Webex, and other tools run smoothly in the background.

This role offers a great opportunity to gain hands-on international experience, collaborate with a distributed team, and work with modern technologies in real business scenarios.

• Design, build, and maintain scalable ETL/ELT pipelines for large datasets.
• Develop and optimize data workflows using Azure Data Factory and Azure Functions.
• Manage and enhance data warehouses in Snowflake, Oracle, and other SQL-based systems.
• Collaborate with cross-functional teams to ensure data governance, quality, and performance optimization.
• Identify and resolve performance issues, ensuring reliable and efficient data delivery.

• 6+ years of hands-on experience as a Data Engineer working with large, complex datasets.
• Strong expertise in Azure Cloud Services (Data Factory, Functions, Storage Accounts).
• Proficiency in Snowflake, Oracle, and advanced SQL (complex joins, query optimization).
• Proven experience with ETL/ELT development and data processing frameworks.
• Excellent analytical and troubleshooting skills.
• Strong communication and collaboration abilities.

• Remote work with a flexible schedule.

• Opportunity to work on an international U.S.-based project.

• Competitive pay: 600+ USD per task/project.

• Supportive team and opportunities for career growth.