Data Engineer-Palantir Foundry-Senior Associate
pwc · Bangalore ·
- Seniority
- Senior
- Category
- Data engineering
- Experience
- 4+ years
pwc · Bangalore ·
Industry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior AssociateJob 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. Your work will be instrumental in driving business growth and enabling strategic decision-making through data-driven insights.
Responsibilities
- Design, develop, and maintain scalable data pipelines in Palantir Foundry using tools like Pipeline Builder, SQL, Python, and PySpark.
- Ingest, clean, transform, and curate data from diverse sources including enterprise systems, APIs, cloud platforms, and data warehouses.
- Build reliable datasets and reusable data products that support analytics, AI/ML, reporting, and operational workflows.
- Implement data quality controls, validation, lineage tracking, and monitoring to ensure trusted data consumption.
- Collaborate with cross-functional teams to translate business requirements into production-ready data solutions and model business entities.
- Optimize pipeline performance, troubleshoot production issues, and apply software engineering best practices such as version control and testing.
- Support data governance, compliance, ontology integration, and clear communication of technical insights to stakeholders.
What You Must Have
- At least a Bachelor's & Master'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 SpecifiedJob Posting End Date