Data Engineer with AWS

Responsibilities:

• 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

Requirements:

• 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 IaC (Terraform)
• Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues
• Experience designing ETL/ELT pipelines
• Experience working in Agile environment
• Knowledge of English C1

Nice to have:

• Experience with using PowerBI

Offer:

• Private medical care
• Co-financing for the sports card
• Constant support of dedicated consultant
• Employee referral program