2 days ago
Bengaluru, IndiaMid Level
Responsibilities
- Develop and implement data solutions using advanced analytics and statistical techniques.
- Collaborate with clients to understand data needs and deliver tailored solutions.
- Use C++, R, and MATLAB to create and optimize data models and algorithms.
- Conduct complex data analysis and predictive modeling.
- Design and maintain data pipelines and data lakes.
- Apply machine learning and deep learning techniques to data science workflows.
- Create data visualizations and communicate insights to stakeholders.
- Build Ontology-ready Palantir Foundry data products for applications, dashboards, workflows, AI/ML, and data science teams.
- Develop Palantir AIP workflows, model-development solutions, feature engineering, and GenAI-supporting data products.
- Create user-facing operational workflows using Workshop, Quiver, Slate, Functions, and Actions.
- Implement API integrations, event-based ingestion, streaming data, SFTP, JDBC/ODBC connectivity, and automated ingestion patterns.
- Support automated testing, data observability, alerting, production support, and incident management.
- Mentor junior team members and uphold professional and technical standards.
Requirements
- Bachelor’s degree or higher.
- At least 4 years of experience.
- Oral and written proficiency in English.
- Hands-on experience with Palantir Foundry data engineering.
- Experience building Ontology-ready data products in Palantir Foundry.
- Experience with Palantir AIP, AI-enabled workflows, model development, feature engineering, and GenAI use cases.
- Proficiency with Palantir application development tools including Workshop, Quiver, Slate, Functions, and Actions.
- Knowledge of API integration, event-based ingestion, streaming data, SFTP, JDBC/ODBC connectivity, and automated ingestion patterns.
- Familiarity with automated testing, data observability, alerting, production support, and incident management.
- Strong stakeholder communication and problem-solving skills.
Tech Stack
Categories
Data Engineering
About PwC
PwC is a global network of professional services firms providing assurance, tax, and advisory work for businesses and public-sector clients. It sells project-based and managed consulting, audit, and deals services, and implements and integrates business applications. Formed in 1998 by the merger of Price Waterhouse and Coopers & Lybrand, it is headquartered in London and is one of the Big Four accounting firms.