Middle Data Engineer

• Design, develop, and maintain ETL/ELT pipelines
• Build and optimize data transformations to support analytics and reporting needs
• 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 to deliver data-driven solutions
• Contribute to the development and maintenance of cloud-based data platforms
• Participate in code reviews and technical discussions
• Create and maintain technical documentation for implemented solutions
• Continuously improve existing 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

WILL BE A PLUS

• Experience with streaming data processing
• Knowledge of orchestration tools such as Airflow or Dagster
• Experience with infrastructure as code practices
• Familiarity with data quality and observability frameworks
• Exposure to large-scale distributed data systems
• Experience working in Agile environments

PERSONAL PROFILE

• Strong analytical mindset
• Detail-oriented and quality-focused
• Proactive and collaborative approach
• Good communication and teamwork skills
• Willingness to learn and grow within modern Data Engineering environments
• Ability to work independently in remote teams