Position Overview :
We are seeking a highly skilled and experienced Senior R Developer to join our data-driven team. The ideal candidate will have a strong background in R programming, with expertise in statistical analysis, data visualization, and machine learning. As a Senior R Developer, you will play a key role in designing, developing, and maintaining data analysis pipelines, as well as mentoring junior developers. You should be passionate about data science, writing clean, maintainable code, and have a deep understanding of modern data analysis practices.
Key Responsibilities :
- Design, develop, and maintain robust, scalable, and high-performance R-based data analysis pipelines.
- Collaborate with cross-functional teams to define, design, and implement data-driven solutions.
- Write reusable, testable, and efficient code for statistical analysis and data visualization.
- Integrate data from various sources and ensure data quality and integrity.
- Optimize data processing workflows for maximum speed and scalability.
- Implement security and data protection measures.
- Troubleshoot and debug data analysis pipelines to resolve issues.
- Mentor and guide junior developers, providing technical leadership and code reviews.
- Stay up-to-date with emerging technologies and industry trends to ensure our solutions remain cutting-edge.
- Participate in Agile / Scrum processes, including sprint planning, stand-ups, and retrospectives.
Required Skills and Technologies :
Proficiency in R : Extensive experience with R programming and its libraries (e.g., dplyr, ggplot2, Shiny).Statistical Analysis : Strong understanding of statistical methods and their application in data analysis.Data Visualization : Expertise in creating data visualizations using libraries like ggplot2, plotly, and lattice.Data Manipulation : Experience with data manipulation and cleaning using libraries like dplyr and tidyr.Machine Learning : Familiarity with machine learning algorithms and libraries (e.g., caret, randomForest, xgboost).Database Management : Experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB).APIs and Web Scraping : Expertise in designing and consuming RESTful APIs and web scraping using libraries like httr and rvest.Version Control : Strong experience with Git and collaborative development workflows (e.g., GitFlow).Security Best Practices : Understanding of secure coding practices and common vulnerabilities (e.g., OWASP Top 10).Preferred Skills :
Experience with front-end frameworks (e.g., React, Angular, Vue.js) for full-stack development.Familiarity with message brokers (e.g., RabbitMQ, Kafka) and event-driven architectures.Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).Experience with serverless computing (e.g., AWS Lambda, Google Cloud Functions).Understanding of GraphQL and its implementation in R.Qualifications :
Education : Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.Experience : 5+ years of professional experience in R development, with at least 2 years in a senior or lead role.Certifications (Optional) : Relevant certifications such as :AWS Certified Developer
Microsoft Certified : Azure Developer AssociateGoogle Professional Cloud DeveloperR-specific certifications (e.g., R Programming Certification by DataCamp)Soft Skills :
Strong problem-solving and analytical skills.Excellent communication and collaboration abilities.Ability to work independently and as part of a team.Leadership skills with a focus on mentoring and guiding junior developers.Adaptability to changing project requirements and technologies.