Palantir Developer

Work Responsibilities:

The Palantir Developer will be responsible for designing and implementing modern data architecture solutions that facilitate enterprise-level transformation. Key responsibilities include:

• Data Architecture Design: Create and optimize modern data architectures that support advanced analytics and operational requirements.
• Pipelining: Develop and maintain efficient data pipelines using Palantir Foundry to ensure seamless data flow and accessibility for analytics.
• Advanced Analytics: Create and deploy advanced analytics products that provide actionable insights to stakeholders, enhancing decision-making processes.
• Artificial Intelligence Integration: Collaborate with data scientists to incorporate AI and machine learning models into data pipelines and analytics products, enabling predictive capabilities.
• Agentic AI Exposure: Leverage knowledge of Agentic AI to develop systems that can autonomously make decisions and take actions based on data insights, enhancing operational capabilities.
• Collaboration: Work closely with cross-functional teams, including data scientists, engineers, and business analysts, to gather requirements and deliver tailored solutions.
• Cloud Technologies: Utilize cloud-based tools and services to enhance scalability, security, and performance of data solutions.
• Best Practices: Implement best practices for data governance, quality, and security to maintain data integrity and compliance with relevant regulations.
• Continuous Improvement: Identify opportunities for process improvements and automation to enhance operational efficiency within data ecosystems.
• Documentation: Maintain comprehensive documentation of data architecture designs, pipeline configurations, and analytics processes.

The Team:

Artificial Intelligence & Data Engineering: In this age of disruption, organizations need to embrace data-driven decision-making to deliver enterprise value. Our team leverages data, analytics, robotics, and cognitive technologies to uncover insights and drive transformation in business. Key initiatives include:

• Data Ecosystem Implementation: Collaborate with clients to implement large-scale data ecosystems that integrate structured and unstructured data for comprehensive insights.
• Predictive Analytics: Utilize machine learning and predictive modeling techniques to derive actionable insights and predict future scenarios.
• AI Solutions Development: Work on developing AI-driven solutions that enhance data analytics capabilities, including natural language processing (NLP), computer vision, and recommendation systems.
• Agentic AI Development: Engage in projects that involve the development and deployment of Agentic AI systems capable of autonomous decision-making and action-taking based on real-time data.
• Operational Efficiency: Drive operational efficiency by utilizing automation and cognitive techniques for data management, ensuring timely and accurate reporting.
• Client Engagement: Engage with clients to understand their unique challenges and tailor solutions that align with their strategic objectives.
• Innovative Solutions: Research and implement innovative technologies and methodologies that enhance data analytics capabilities and drive business value.
• Training and Support: Provide training and support to clients on data tools and platforms to ensure they can maximize the value of their data assets.

Qualifications:

Required:

• Education: Bachelors degree in Computer Science, Data Science, Engineering, or a related field.

Experience:

• 3+ years of hands-on experience in data extraction and manipulation using various tools and programming languages.
• 3+ years of experience in engineering and developing Palantir pipelines, with a strong understanding of data integration techniques.
• 3+ years of experience collaborating with Palantir Foundry data scientists and engineers on complex data projects.
• 2+ years of experience working with AI and machine learning technologies, including model development, deployment, and performance tuning.
• Familiarity with Agentic AI concepts and applications, including experience developing or working with autonomous systems is a plus.

Technical Skills:

• Proficiency in programming languages such as Python, SQL, or R, along with experience in statistical analysis and machine learning techniques.

Problem-Solving:

• Strong analytical and problem-solving skills, with the ability to think critically and creatively.

Communication:

• Excellent interpersonal and communication skills to effectively convey technical concepts to non-technical stakeholders.