Required qualifications and experience: Candidates must have 5 to 8 years of experience with R programming, including proficiency in RShiny, and hold a BE/BTech/MTech degree in Computer Science, Statistics, or related fields. Experience with packages like ggplot2, dplyr, tidyr, SQL, and Big Data frameworks such as Hadoop and Spark is essential. Knowledge of machine learning, data mining, and version control systems is a plus. [1] [2] • Technical skills and competencies: The role requires strong skills in statistical analysis, data cleaning, transformation, and visualization using tools like ggplot2 and Shiny. Candidates should also have experience with relational databases, web development technologies (HTML, CSS, JavaScript), and collaborative teamwork. Effective communication with both technical and non-technical stakeholders is important. [3] [4] • Roles and responsibilities: The developer will design and maintain R-based applications, including interactive ShinyProxy applications, to analyze data and generate reports. Responsibilities include collaborating with teams to understand requirements, applying statistical and machine learning techniques, optimizing code, ensuring quality standards, troubleshooting, and staying updated with R and ShinyProxy developments. [5] [6]
Tailor your resume for each Brillio role by matching the exact technology keywords from the job description — Azure Data Factory, Microsoft Fabric, Power BI, Snowflake, and PySpark appear across many current openings, and Lever's search algorithms rely on precise keyword matches.
Position yourself as a consultant, not just a technician — highlight client-facing experience, stakeholder communication, and business outcome delivery in your resume and interview responses, since Brillio's model demands both technical depth and consulting soft skills.
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