Data Engineer-Palantir Foundry-Senior Associate

PwC; Bengaluru; On-site; INR 2,000,000 - 3,200,000; Full time

Job summary

PwC Acceleration Center India seeks a Senior Associate in Data Engineering to transform raw data into actionable insights using Palantir Foundry. You will join a global team across Advisory, Assurance, Tax and Business Services—delivering robust data solutions.

As a Data Engineer-Palantir Foundry, you will build data pipelines, apply advanced analytics, and create visualizations to inform strategic decisions while mentoring junior colleagues and collaborating with clients to ensure data quality

Qualifications

• Bachelor's degree required.
• At least 4 years of experience.
• Oral and written proficiency in English required.
• Hands-on experience with Palantir Foundry data engineering.

Responsibilities

• Designing and developing robust data solutions to transform raw data into actionable insights.
• 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 drive business growth.
• Utilizing data science algorithms and machine learning techniques to enhance data‑driven decision making.
• Building and maintaining data pipelines and data lakes to support data engineering processes.
• Applying programming languages such as C++, R, and MATLAB for data modeling and analysis.
• Collaborating with clients to understand their data needs and deliver tailored solutions.
• Implementing data quality measures to validate data integrity and accuracy.
• Engaging in predictive modeling and natural language processing to advance analytical capabilities.
• Mentoring junior team members and guiding them in data science workflows and troubleshooting.

Skills

Palantir Foundry

C++

R

MATLAB

Data engineering

AI/ML

Education

Bachelor's degree

Tools

Palantir AIP

Workshop

Quiver

Slate

Functions

Actions

API integration

SFTP

JDBC/ODBC

CI/CD

Job description

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 play a pivotal role in transforming raw data into actionable insights, enabling informed decision‑making and driving business growth. Within our Data and Analytics Engineering practice, you will focus on leveraging advanced analytics and statistical techniques to extract insights from large datasets and drive data‑driven decision‑making. You will work on exploratory and descriptive analysis, statistical modeling, and creating data visualizations to help solve complex business problems and inform strategic decisions.

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. Embracing increased ambiguity, you will be comfortable when the path forward isn’t clear, using these moments as opportunities to grow.

In this role at PwC Acceleration Center India, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. You will be part of a team that focuses on building client relationships and developing a deeper understanding of the business context, using your skills to deliver impactful solutions.

Responsibilities

• Designing and developing robust data solutions to transform raw data into actionable insights
• 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 drive business growth
• Utilizing data science algorithms and machine learning techniques to enhance data‑driven decision making
• Building and maintaining data pipelines and data lakes to support data engineering processes
• Applying programming languages such as C++, R, and MATLAB for data modeling and analysis
• Collaborating with clients to understand their data needs and deliver tailored solutions
• Implementing data quality measures to validate data integrity and accuracy
• Engaging in predictive modeling and natural language processing to advance analytical capabilities
• Mentoring junior team members and guiding them in data science workflows and troubleshooting
• Adapting to changing business contexts and developing a deeper understanding of industry trends

What You Must Have

• 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

What Sets You Apart

• 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.
• -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