Data Engineer

• Design, develop, and maintain ETL/ELT pipelines
• Build and optimize data transformations for analytics and reporting
• Develop and maintain data models, datasets, and integration solutions
• Ensure data quality, consistency, and reliability through testing and monitoring
• Troubleshoot and resolve data pipeline and performance issues
• Collaborate with analysts, engineers, and business stakeholders
• Contribute to cloud-based data platforms
• Participate in code reviews and technical discussions
• Create and maintain technical documentation
• Continuously improve data processes and platform performance

• 3+ years of experience in Data Engineering or Software Engineering
• Upper-Intermediate English level
• Strong SQL skills and understanding of relational and dimensional data modeling
• Hands-on experience with Python for data processing and automation
• Experience building and maintaining ETL/ELT pipelines
• Hands-on experience with Databricks and Apache Spark
• Experience working with Snowflake
• Understanding of data warehousing and modern data platform concepts
• Experience working with cloud environments, preferably AWS
• Familiarity with CI/CD, Git, and software engineering best practices
• Strong analytical, troubleshooting, and communication skills
• Ability to work independently in remote teams

• Remote work
• Opportunities for professional growth
• Knowledge sharing
• Long-term career development
• Supportive engineering environment
• Continuous learning
• Technical excellence culture