1 month ago
Bengaluru, IndiaMid Level
Responsibilities
- Design and develop robust data solutions that transform raw data into actionable insights.
- Build and maintain data pipelines and data lakes for data engineering processes.
- Apply analytics, statistical techniques, data science algorithms, and machine learning to large datasets.
- Conduct exploratory and descriptive analysis, predictive modeling, and natural language processing.
- Create data visualizations and operational data products to support strategic decisions.
- Build Ontology-ready Palantir Foundry data products for dashboards, workflows, AI/ML, and data science teams.
- Develop user-facing operational workflows using Palantir Application Development tools.
- Implement API integrations, event-based ingestion, streaming data, SFTP, JDBC/ODBC connectivity, and automated ingestion patterns.
- Apply data quality measures and support data observability, alerting, production support, and incident management.
- Collaborate with clients to understand data needs and deliver tailored solutions.
- Mentor junior team members and guide data science workflows and troubleshooting.
Requirements
- Bachelor’s degree or higher.
- At least 4 years of experience.
- Hands-on experience with Palantir Foundry data engineering.
- Oral and written proficiency in English.
- 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 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, incident management, stakeholder communication, and problem-solving.
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.