data engineer in cloud data platforms

The team is building a modern, cloud-based data platform that enables data-driven decision-making across all lines of business and supports analytics, reporting, and business intelligence initiatives.

• Design, build, and maintain scalable data pipelines using Azure and Snowflake
• Develop and optimize ETL/ELT processes for batch and micro-batch workloads
• Work with Azure Data Factory, Azure SQL, Azure Storage, and Azure Functions
• Design and maintain data warehouse models, including dimensions, facts, and star and snowflake schemas
• Apply Kimball and Inmon data warehousing methodologies
• Write, optimize, and maintain complex SQL queries for analytics and reporting
• Ensure data quality, consistency, and reconciliation across multiple data sources
• Collaborate with Business Intelligence teams to support dashboards and reporting tools
• Participate in technical requirements gathering and solution design discussions
• Contribute to data platform architecture, including performance and infrastructure considerations
• Troubleshoot issues and continuously improve system performance and reliability

• 7+ Years of experience in software development
• 5+ Years of experience working with data-intensive systems
• At least 2 years of hands-on experience with cloud-based data platforms; Azure preferred
• Hands-on experience with Azure Data Factory, Azure SQL, Azure Storage, and Azure Functions
• Strong SQL expertise, including data modeling and complex ETL-based SQL development
• Experience building periodic and micro-batch pipelines
• Understanding of data warehouse architecture and data loading strategies
• At least 1 year of hands-on experience with Snowflake
• Strong analytical and problem-solving skills focused on data quality
• Experience working with large datasets in enterprise environments
• Будет плюсом: Advanced Snowflake experience in performance tuning, optimization, and cost management; proficiency in Python and/or Databricks; experience designing end-to-end data platform architectures; previous experience supporting enterprise BI platforms; exposure to CI/CD pipelines and infrastructure-as-code concepts

• Armenia, Bulgaria, Cyprus, Georgia, Kazakhstan, Latvia, Poland, Romania, Serbia, and Ukraine