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Senior Full Stack Engineer Python
4 semanas atrás
1 week ago Be among the first 25 applicants
This range is provided by Workana. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$48,000.00/yr - $76,000.00/yr
Workana is the largest remote work platform for talents in Latin America. Our new segment, Workana Premium, focuses on matching the most exceptional professionals with leading and innovative companies around the globe. Enjoy competitive compensation, dedicated support, and the flexibility of remote work within a dynamic environment that fosters collaboration and professional advancement.
We are proud to present you with the following opportunity.
Role OverviewJoin our Pharma/Biotech client as a Senior Full-stack Software Engineer (Backend heavy) to elevate our data engineering and software development initiatives. You will contribute to the development of a large-scale data engineering pipeline, enhance our AWS cloud-based solutions, and drive advancements in data ingestion, processing, and analysis to support complex Q&A capabilities.
Responsibilities- Develop and deploy a large-scale data engineering pipeline for efficient data ingestion and management.
- Implement AWS cloud services, including S3, CloudFront, CloudFormation, and Textract, to support data operations and storage solutions.
- Engage in mass data migration and upload processes, focusing on prioritization and enablement of critical data.
- Generate structured outputs for business analysis and documentation retrieval.
- Conduct comprehensive analysis of tabular data and adverse events clinical data.
- Integrate and enhance portfolio management tools and user interaction pathways.
- Optimize result diversity and quality for business user applications.
- Scale infrastructure to support a growing user base and enhance performance.
- 7+ years of experience in full-stack engineering with a strong balance of front-end and back-end development skills (preferably React.js and Python Frameworks)
- Experience with AWS technologies (S3, Api Gateway, Lambda, Cloudfront and sqs), particularly in data handling and cloud deployment.
- Exposure to data science methodologies and tools, with a preference for knowledge in knowledge graphs and the Microsoft GraphRag paradigm.
- Exposure to multi-agent systems Basic understanding of data visualization, DevOps, and traditional data engineering.
- Innovative thinker capable of pushing technical boundaries and driving solutions to the next level
- Competitive compensation in USD depending on seniority and evaluation
- Fully remote work in Latin America
- Career growth with a huge international client with challenging and dynamic projects
Seniority level: Mid-Senior level
Employment type: Contract
Industries: IT Services and IT Consulting
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