Data Integration & Ingress: Configure and manage secure, scalable, and resilient data connections. Set up flexible 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 workplace for advanced analytics.
Data Engineering Core:
Proficiency in data modeling, ETL (Extract, Transform, Load) processes, and data g
📌 Data Engineer (Mumbai)
🏢 Burns & McDonnell
📍 Mumbai
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