Data Engineer-Palantir Foundry-Senior Associate

Overview

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As a Data Engineer-Palantir Foundry-Senior Associate, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients, transforming raw data into actionable insights that drive business growth. Within our Data and Analytics Engineering practice, you will focus on extracting insights from large datasets through advanced analytics and statistical techniques, enabling informed decision-making and solving complex business problems.

As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work even when the path forward isn’t clear. This role emphasizes relationship building, managing others, and personal growth.

In this role at PwC Acceleration Center India, you will engage in exploratory and descriptive analysis, statistical modeling, and creating data visualizations. You will use a broad range of tools and methodologies to generate new ideas and solve problems, interpreting data to inform insights and recommendations. This is an opportunity to develop a deeper understanding of the business context and how it is evolving.

Responsibilities

• Transforming raw data into actionable insights to drive informed decision-making and business growth
• Leveraging advanced analytics and statistical techniques to extract insights from large datasets
• Conducting exploratory and descriptive analysis to solve complex business problems
• Creating data visualizations to inform strategic decisions and enhance understanding
• Developing robust data solutions using advanced technologies and techniques
• Collaborating with clients to understand their needs and deliver tailored data solutions
• Managing data science workflows and troubleshooting to optimize performance
• Utilizing programming languages such as C++, R, and MATLAB for data modeling and analysis
• Implementing machine learning algorithms and predictive modeling to enhance data-driven decision making
• Building and maintaining data pipelines and confirming data quality across projects
• Applying AI fluency and AI-human collaboration to innovate and improve data processes
• Upholding professional and technical standards in all aspects of data engineering and analysis
• At least a Bachelor's degree
• At least 4 years of experience
• Oral and written proficiency in English required
• Hands-on experience with Palantir Foundry data engineering
• Experienced in building Ontology-ready data products in Palantir Foundry for operational applications, dashboards, workflows, AI/ML, and data science teams.
• Skilled with Palantir AIP, AI-enabled workflows, model development, feature engineering, and data products supporting GenAI use cases.
• Proficient in Palantir Application Development tools like Workshop, Quiver, Slate, Functions, Actions, and creating user-facing operational workflows.
• Knowledgeable in API integration, event-based ingestion, streaming data, SFTP, JDBC/ODBC connectivity, and automated data ingestion patterns.

What You Must Have

What Sets You Apart

-Familiar with CI/CD, automated testing, data observability, alerting, production support, incident management, and strong stakeholder communication and problem-solving skills

Travel Requirements

Not Specified

Job Posting End Date