Offer summary

Qualifications:

7+ years of full-stack engineering experience with front-end and back-end skills, preferably in React.js and Python frameworks., Strong knowledge of AWS cloud services, especially for data handling and deployment., Exposure to data science tools and methodologies, including knowledge graphs and the Microsoft GraphRag paradigm., Basic understanding of data visualization, DevOps, and traditional data engineering..

Key responsibilities:

Develop and deploy large-scale data engineering pipelines for data ingestion and management.

Implement AWS services like S3, CloudFormation, and Textract to support data operations.

Conduct data migration and prioritize critical data uploads.

Analyze tabular and clinical adverse event data to generate structured outputs.

Job description

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 Overview

Join our Pharma/Biotech client as a Senior Full-stack Software Engineer 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, 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.

Requirements

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)
Knowledge of AWS technologies, 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.

Ideal Candidate

A solution-oriented engineer with a blend of software engineering and data science expertise, ready to tackle complex problems in a dynamic, fast-paced environment.

Benefits