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Niche R/Shiny skillset and lesser-known employer reduce applicant competition despite Bangalore location.
Core data engineering and R/Shiny visualization skills transfer across industries, though R-specific experience slightly narrows fit.
Explicit 6-8 years requirement plus mandatory R/Shiny, Python, SQL, and database experience increases selection rigidity.
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Design, develop, enhance, and maintain data visualization tools and pipelines, primarily using R/R Shiny and other related technologies.
Collaborate with clients and cross-functional teams to understand requirements and implement changes or new features in existing processes.
Debug and troubleshoot production code issues; support data extraction by building custom database queries and connections.
Bachelor's degree (BE/BTech) in Computer Science, IT, or related field.
6 to 8 years of experience in software engineering and data applications.
Proficiency in Python, SQL, R (including R Shiny), with experience in data manipulation and visualization.
Experience with relational databases (e.g., MS SQL Server), AWS S3, and Excel integration.
Experienced in software development fundamentals including OOP, testing, design patterns, and best practices.
Strong analytical, problem-solving, and research mindset with a focus on quality and meeting deadlines.
Ability to collaborate effectively across teams and provide client-focused solutions through strong communication skills.