Master Software Developer - Data Engineering & Integrations (AI)
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Описание вакансии
TL;DR
Master Software Developer - Data Engineering & Integrations (AI): Designing and implementing a data integration layer for an AI-powered broadcast media planning solution with an accent on scalable connectors and seamless data flow. Focus on building robust ETL/ELT pipelines using MCP, Python, and Node.js within an AWS serverless architecture.
Location: Remote (Brazil)
Company
Tech transformation specialists uniting human expertise with AI to create scalable tech solutions for a global client base.
What you will do
- Design and implement the entire data integration layer using Model Context Protocol (MCP).
- Build robust, scalable connectors to multiple data sources including audience projections, inventory, and market intelligence.
- Ensure seamless data flow between the client's ecosystem and optimization engines.
- Develop backend systems and API servers using Python and Node.js.
- Implement AWS serverless architecture utilizing Lambda, API Gateway, and DynamoDB.
- Develop data pipelines incorporating ETL/ELT processes and transformation logic.
Requirements
- Fluent English (conversation and technical documentation)
- Must be based in Brazil
- Solid experience in software development with a focus on data engineering or backend systems.
- Advanced proficiency in Python and strong skills in Node.js.
- Experience with RESTful API design and integration at scale.
- Knowledge of AWS serverless architecture and resilience patterns (retry logic, circuit breakers).
Nice to have
- Experience with Model Context Protocol (MCP) or similar integration frameworks.
- GraphQL and SOAP API integration experience.
- AWS Infrastructure as Code (CDK, Terraform, CloudFormation).
- Experience with audience/media data systems (Nielsen, Comscore).
- Proficiency with message queuing (SQS, SNS, EventBridge) and observability tools (CloudWatch, DataDog).
Culture & Benefits
- Comprehensive health, dental, and life insurance.
- Meal and food allowance.
- Childcare assistance and extended paternity leave.
- Wellness partnerships via Wellhub (Gympass) and TotalPass.
- Profit Sharing and Results Participation (PLR).
- Continuous learning through University and other online platforms.
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