Palantir and Tableau Developer

2 days ago

Bengaluru, Karnataka, India Randstad Full time

Role & responsibilities

RESPONSIBILITIES:


• Design and develop interactive dashboards and reports using Palantir application/

Tableau, ensuring visualizations are user-friendly and aligned with business needs.


• Collaborate with business users and data analysts to understand requirements and

translate them into effective visual solutions.


• Extract and manipulate data from various databases, ensuring data quality and

integrity.


• Participate in the end-to-end development process, from requirements gathering to

deployment and maintenance of Tableau solutions.


• Conduct data analysis to identify trends, patterns, and insights that can inform

business strategies.


• Document technical specifications and maintain high-quality documentation for

Tableau dashboards and reports.


• Provide support and training to end-users on Palantir/Tableau functionalities and best

practices.


• Stay updated on the latest Palantir/Tableau features and enhancements to

continuously improve visualization practices.


• Work in an Agile environment, participating in Scrum ceremonies and collaborating

with Development teams.

EDUCATION:


• Bachelors degree or higher in Computer Science

EXPERIENCE:


• 4+ years of experience in data visualization, application development with a focus on

Palantir and Tableau development.


• Experience in data analysis and reporting, preferably within a Life Science or

healthcare context.

TECHNICAL SKILLS:


• Proficient in Palantir Foundry: Focus on designing and building interactive

dashboards, user interfaces, and analytics tools within the Palantir platform using

tools like Workshop, Contour, Quiver


• Ontology Management: Collaborate on building and managing Ontology objects to

create a semantic layer that enables effective reasoning over connected data.


• Tableau: Proficient in Tableau Desktop and Tableau Server, with a strong

understanding of dashboard design principles and best practices.


• Data Visualization: Familiarity with data visualization concepts, including the ability

to present complex data in a clear and concise manner.


• Data Management: Understanding of data management practices, including data

cleaning, transformation, and integration.


• Programming: Hands on programming skills in Python, SQL, pyspark for data

manipulation and analysis.


• Collaboration Tools: Experience with collaboration tools such as JIRA or Confluence

for project management and documentation.

REQUIRED SKILLS:


• Strong analytical and problem-solving skills with the ability to think logically and

creatively.


• Excellent communication skills to effectively convey insights and collaborate with

technical and non-technical teams.


• Ability to work in a fast-paced, dynamic environment while managing multiple tasks

and deadlines.


• Strong attention to detail and organizational skills.

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