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 Associate
  • Google Professional Cloud Developer
  • R-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.