Data Integration & Ingress: Configure and manage secure, scalable, and resilient data connections. Set up adaptable ingress topologies to bring in multi-modal data streams (structured, unstructured, streaming, IoT, etc.).
Pipeline Orchestration: Design, implement, and maintain robust, automated data pipelines using Pipeline Builder and code repositories
Ontology Management: Create, configure, and manage core Ontology objects inside Palantir Foundry to model real-world concepts.
Application & Solution Development: Develop end-to-end solutions, custom workflows, and user-facing applications using Palantir Workshop or Slate.
Business Analysis: Work directly on business requirements, dissecting problem statements and translating them into technical solutions within the platform.
Training & Enablement: Provide ongoing training and technical support to end-users to maximize their effective utilization of Palantir Foundry.
Governance & Standards: Ensure all pipeline operations comply with data privacy, governance, and strict cybersecurity regulatory requirements.
Maintain full data provenance using the Job Spec paradigm.
Qualifications
B.E./ B. Tech./BE IT or any graduate
+
Technical Skills
Palantir Ecosystem & Tools:
No-Code/Low-Code Transformation: Proficiency in Preparation and Contour.
Pipeline Orchestration: Designing/managing pipelines with Pipeline Builder and Code Repositories.
Application Generation: Building custom applications utilizing Workshop or Slate.
Analysis Tools: Hands-on analytical experience using Code Workbook, Contour, and Quiver.
Programming & Scripting
Working knowledge of Python, PySpark
Knowledge of TypeScript.
AI & Machine Learning
Familiarity with AIP (Artificial Intelligence Platform) Natural Language.
Experience integrating ML and AI capabilities within the Palantir environment for advanced analytics.
Data Engineering Core
Proficiency in data modeling, ETL (Extract, Transform, Load) processes, and data gover
📌 Data Engineer (Mumbai)
🏢 Burns & McDonnell India
📍 Mumbai
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