About the Role
We are looking for a Middle Data Engineer with strong AWS expertise to join our data team. You will work on building and optimizing data pipelines, integrating multiple data sources, and ensuring smooth data flow across the organization. This is a great opportunity for someone who wants to work with modern data stack tools and contribute to a scalable cloud-based analytics platform.
Responsibilities: - Design, develop, and maintain ETL/ELT pipelines
- Work with AWS services: S3, Lambda, Glue, Redshift
- Build and optimize data models and workflows
- Collaborate with analytics, engineering, and product teams
- Implement Infrastructure as Code (IaC) using Terraform
- Ensure data quality, reliability, and performance
Requirements: - 2+ years of experience as a Data Engineer
- Strong knowledge of AWS cloud services (Glue, S3, Redshift, Lambda)
- Proficiency in Python programming
- Solid experience with SQL / PostgreSQL
- Hands-on experience with Terraform or other IaC tools
- Understanding of ETL/ELT processes and best practices
- English level B2+ (ability to communicate in an international team)
We Offer: - Competitive salary: 600–800 USD
- Remote or hybrid work options (depending on your location)
- Opportunity to work with modern AWS data stack
- Professional growth and participation in challenging projects
- Friendly engineering team and supportive environment