Middle/Senior Big Data Software Engineer (Python + AWS)

Location: Ukraine; remote or office work available. Adjusted hours may extend until 20:00–20:30 Kyiv time.

Company

Engineering and technology projects focused on cloud-native data platforms and backend services.

What you will do

• Design, develop, and maintain scalable AWS data pipelines and ETL workflows.
• Build and support backend services for data integrations and processing workflows using Go and other backend technologies.
• Develop and optimize distributed data processing solutions with Python, PySpark, and Amazon EMR.
• Improve the performance, reliability, and cost efficiency of cloud-native data platforms and processing jobs.
• Manage Infrastructure as Code, CI/CD pipelines, deployment workflows, monitoring, and observability.
• Collaborate with cross-functional teams while maintaining code quality, testing, documentation, and production support practices.

Requirements

• 4+ years of experience in data engineering or backend engineering.
• Strong experience building data pipelines, ETL workflows, and AWS-based data platforms.
• Hands-on experience with Python, PySpark, and SQL.
• Practical knowledge of AWS services including S3, Glue, EMR, Step Functions, Athena, Redshift, DynamoDB, and CloudFormation.
• Experience with backend services, CI/CD automation, observability, and monitoring using tools such as Go, GitHub Actions, Datadog, and CloudWatch.
• Upper-intermediate or higher English proficiency required.

Culture & Benefits

• Remote or office work format.
• Cross-functional collaboration on production-ready engineering solutions.
• Opportunity to work with Go in a production environment.
• Focus on ownership, reliability improvements, engineering best practices, and continuous platform improvement.