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Mid-Level Data Engineer (Temporary) at Workana. We are looking for a . Mid-Level Data Engineer. with strong experience in . Python and AWS Serverless architectures. to support a critical runtime upgrade project.. The main objective is to . upgrade multiple production services from Python 3.9 to Python 3.13. , modernize the . Serverless Framework infrastructure. , and . decommission legacy services. . This work is time-sensitive due to the upcoming AWS Python 3.9 deprecation.. Responsibilities. Upgrade . Python runtime (3.9 → 3.13). across multiple serverless applications. . Upgrade . Serverless Framework (v3 → v4). and update dependencies. . Maintain and update . CI/CD pipelines. and deployment workflows. . Test and deploy services across . dev, staging, and production environments. . . Identify and safely . decommission deprecated services. . . Document changes and provide . knowledge transfer. to the internal team. . Technical Environment. Infrastructure. Serverless Framework . AWS Lambda . API Gateway . Step Functions . CloudFormation . CodePipeline / CodeBuild . Application Stack. Python . Flask APIs . Data processing libraries (boto3, pandas, psycopg2) . CI/CD. Bitbucket Pipelines . Docker. . 3–5 years experience. as a Data Engineer or Backend Engineer . . 3+ years of Python development. . Experience with . AWS serverless services. (Lambda, API Gateway, Step Functions) . Hands-on experience with . Serverless Framework. . Experience with . CI/CD pipelines and automated deployments. . Experience upgrading . Python runtimes in production. . Familiarity with . Flask-based APIs. Nice to Have. AWS CDK experience . Redshift or data warehouse experience . Python unit testing (pytest / unittest) . AWS certifications. Company Location: Peru.