data engineer for cloud data platforms

Solvex Solutions provides IT services and IT consulting.

• Design and develop scalable ETL/ELT pipelines, backend services, and data products using Python, DBT, and Snowflake;
• Build and optimize data models, SQL queries, and cloud-native data pipelines;
• Develop solutions using AWS Glue, Lambda, S3, Athena, and Step Functions;
• Implement Infrastructure as Code using Terraform, CloudFormation, or AWS CDK;
• Build and maintain CI/CD pipelines using GitHub Actions or Jenkins;
• Ensure data quality, observability, security, performance, and cost optimization;
• Collaborate with architects and product teams;
• Mentor junior engineers.

• 5+ Years of experience;
• Strong Python programming and solid software engineering fundamentals;
• Hands-on experience with Snowflake, DBT, advanced SQL, and ETL/ELT pipelines;
• Experience with AWS services including Glue, Lambda, S3, Athena, and Step Functions;
• Knowledge of Terraform or similar IaC tools, Git, and CI/CD;
• Experience designing scalable data platforms and cloud-native solutions;
• Nice to have: FastAPI or REST API development, Python batch processing or orchestration, Kafka or Kinesis, data governance, lineage and data quality frameworks, Power BI, security and compliance standards including SOX, ISO 27001, and GxP.

• Contract for 6–12 months;
• Remote work in Eastern Europe.