Middle Big Data Software Engineer

SoftServe is a company involved in data migration and modernization initiatives, helping organizations move legacy data platforms and workflows to modern cloud-based architectures.

• 3+ years of experience in Data Engineering or Data Migration projects
• Strong proficiency in Python and SQL
• Hands-on experience with PySpark and distributed data processing
• Experience with AWS services such as Step Functions, S3, Lambda, or CloudWatch
• Understanding of ETL and data pipeline development practices
• Experience using AI-assisted development tools or willingness to learn and adopt them
• Strong analytical and problem-solving skills
• Proficiency in understanding business requirements and translating them into technical solutions
• Upper-intermediate or higher level of English

• Develop and maintain data processing workflows and migration solutions using AWS services and Python
• Build and support batch and streaming data pipelines using PySpark and distributed data processing frameworks
• Assist in analyzing legacy systems and data processes to support migration planning and execution
• Leverage AI-assisted tools to accelerate development, testing, and migration activities
• Develop data validation and quality assurance processes to ensure successful migration outcomes
• Participate in code reviews, troubleshooting, and continuous improvement initiatives
• Collaborate with technical and business stakeholders to understand requirements and deliver effective solutions
• Create and maintain technical documentation related to migration processes and data workflows
• Support deployment and automation activities within cloud environments

SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.