Data Engineer with AWS

• 4–6 years of experience as Data Engineer
• Strong SQL and Python skills (production-grade code)
• Hands-on experience with AWS (Glue, S3, Lambda, Redshift)
• Knowledge of data management principles and best practices, including data governance, data quality, and data integration
• Practical experience in managing CI/CD pipelines (GitLab) and Infrastructure as Code (Terraform)
• Excellent problem-solving and analytical skills
• Experience designing ETL/ELT pipelines
• Experience working in Agile environment
• Knowledge of English at C1 level

Nice to have:

• Experience with using PowerBI

• Design and implement scalable batch data pipelines on AWS using AWS Glue
• Develop and optimize data transformations using Apache Spark and SQL, ensuring performance and maintainability
• Design efficient data models for analytical and reporting use cases (data lakes, data warehouses)
• Ensure data reliability, quality, monitoring, and performance in distributed environments
• Engage directly with business to understand requirements and translate them into data engineering solutions
• Work independently while maintaining effective communication with stakeholders