Senior/Middle Data Engineer (Azure, Snowflake)

Компания "XO‘JAYEV O‘TKIR ULKAR O‘G‘LI"

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 backend processes, ensuring that applications like 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.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory (ADF)

• Manage and optimize data warehouses in Snowflake

• Write efficient SQL queries for reporting, analytics, and data validation

• Develop Python scripts for data extraction, transformation, and automation tasks

• Ensure smooth operation of backend services and data flows in the cloud

• Collaborate with international teammates to support and enhance existing infrastructure

• Build and maintain data models for scalable analytics and reporting

• Work with Azure cloud services for data storage, integration, and monitoring

• Utilize Alteryx for advanced data preparation and automation

Requirements

• 3–6 years of experience

• Strong skills in SQL, Python, and ETL/ELT processes

• Hands-on experience with Azure Data Factory (ADF)

• Experience with Snowflake (data modeling, optimization, performance tuning)

• Solid understanding of Azure cloud ecosystem

• Familiarity with Alteryx for data preparation and automation

• English level: B2 or higher

• Ability to work independently, with strong attention to detail

We offer

• Remote work with a flexible schedule

• International experience on a U.S.-based project

• Competitive pay: 600–800 USD per task/project

• Opportunity to work with a modern stack: ADF, Snowflake, Python, SQL, Azure

• Supportive team and room for professional growth

???? If you want to boost your expertise and gain international project experience, apply now—we’d love to meet you!

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